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Freshers Jobs in IT Sector after Covid-19

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Freshers Jobs in IT Sector after Covid-19

Are you really confused regarding your career post-covid-19? Want to develop good skills but don’t know anything about IT sector, here is an overview for you- Everyone is aware that the worldwide pandemic because of covid-19 has modified the whole state of affairs of the roles and companies throughout the world. We’ve visible numerous undesirable drawbacks and eventualities like layoffs, loss of job openings, salary-cut, etc. around us. Over the years, we’ve visible that India has significantly been moving to the Information Technology Age. With the digitization of the nation, IT zone have received numerous reputations and feature grows to be the maximum important part of everyone’s life. With the appearance of those technologies, the call for this zone has additionally been increased. Opportunities, Trends, and Career Paths in India Information generation now has a stronghold in all of the sectors of India together with Education, Manufacturing, Mass Media, Finance, Communication, Marketing, Entertainment, Environment, etc. Progress in any area without the help of IT is sort of not possible because the dependence on IT publications to speak products and services had been increasing. As an end result of this, India has visible an upsurge withinside the IT region and diverse organizations have mushroomed, generating several jobs in this area and is one of the maximum paying sectors. Subsequent to this, the call for professional IT specialists has been growing in the marketplace as IT maintains to develop and those are extra into the usage of new technology and developments getting into the sector. IT Sector Post-COVID During the pandemic, digitization has become crucial, leading to a demand for skilled IT professionals. Around 95% of companies are either installing or upgrading cloud infrastructure, resulting in increased demand for cloud expertise. The IT sector is shifting towards becoming a knowledge hub focused on R&D, requiring higher-order thinking skills like creativity, critical thinking, and analysis. In this blog, we’ll cover key information about the IT sector, including its scope, demand in India, career paths, and post-COVID-19 opportunities worldwide. By the end, you’ll understand why pursuing a career in IT and obtaining certifications is highly beneficial. Let’s get started: Scope in IT Sector Information Technology in India offers numerous opportunities across various fields such as networking, multimedia, and the Internet/WWW. These openings cater to both students and working professionals entering the industry. Staying updated with evolving technologies is crucial due to the dynamic nature of the field. It has best passed off withinside a previous couple of many years that a whole lot of the global has begun out to revolve around the era. Everything that is ‘in and trending’ is era-related, be it the Internet of Things (IoT) or Artificial Intelligence (AI), or Cloud Computing. Promise and Potential of Information Technology IT additionally allows an expert to get process possibilities in lots of overseas corporations or pinnacle corporations in India. i.e. Tata Consultancy Services (TCS), Wipro Technologies, Cognizant, Yahoo!, Google, Tech Mahindra, Infosys Technologies, HP, Capgemini, iGATE Patni, Accenture, L&T, HCL Technologies, and Godrej InfoTech. We have masses of benefits of IT. IT publications aim to provide both freshers and professionals with theoretical knowledge and skill sets required by IT companies. These courses cover software design, development, and testing, along with core principles such as database management systems, Java programming, data security, algorithm analysis, computer networking, ERP, E-commerce, cloud computing, software engineering, and other related topics. The IT sector is one of these few sectors this is nonetheless imparting several profession possibilities to people and searching very plenty resilient in phrases of growing & producing employment possibilities in the future. And that’s possibly the motive that a majority of the people are asking ahead to breaking into the IT field. Let’s check the below-stated numbers for extra clarification: The annual sales of the IT industry in India are anticipated to attain around $350 billion via way of means of the yr 2025. More than 200 Indian IT corporations are already found in almost 80 international locations throughout the world. Technologies like Cloud, AI, etc. are anticipated to be used by extra than 80% of worldwide corporations via way of means by the year of 2022. Demand of IT Sector in India The COVID-19 pandemic has accelerated the need for companies to enhance their digital initiatives and embrace new technologies. Remote work has become commonplace, requiring organizations to provide collaborative tools for employees and self-service channels for customers. The IT sector remains resilient amid the pandemic, playing a key role in digital transformation. The Indian IT workforce alone accounts for 4.36 million employees as of 2020. The increasing need for software development and cutting-edge technologies like AI, AR, VR, and IoT is generating abundant job prospects for both newcomers and seasoned professionals globally, as companies embrace digital transformation. The current business environment has the highest demand for the following top five skills: Block-chain Cloud Computing Analytical Reasoning Artificial Intelligence Business Analysis One of the most important blessings that the IT sector gives in India is the employment it is able to generate. Other benefits are export and Foreign Direct Investments (FDI). New markets have spread out withinside the Middle East, Africa, Eastern Europe, and South and southeast Asia. India is now a prime vacation spot for IT outsourcing. There isn’t any dearth of IT task possibilities in India. Career Path in IT Industry In a rapidly changing IT landscape, companies need a skilled workforce to meet customer needs and stay competitive. This creates job opportunities and promotes diversity in the industry. Jobs in IT quarter also are pushed via way of means of want to cater to special enterprise segments as well. Almost every enterprise (Banking, engineering, health, manufacturing, management consulting, mining, etc.) wishes human beings to manage, use, community, or create programs, thereby, developing a massive call for IT professionals. Navigating Career Opportunities in the IT Sector Now the sector had grown to be not possible to transport without Information Technology. No doubt that IT fields are on their growth path. We’ll … Read more

Why Microsoft Azure is Best Cloud Platform?

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Why Microsoft Azure is best cloud platform

Microsoft Azure is typically defined as having “infinite potential” and “limitless possibilities. Microsoft Azure revenue grew 50% year-over-year in monetary Q2, 2021, contributing to a 26% boom in Server merchandise and cloud services sales. According to today’s earnings call, more than 1,000 Microsoft clients now use Azure Arc to simplify hybrid management and run Azure offerings throughout on-premises, multi-cloud, and on the edge. There are actually over 60 Azure areas globally, strengthening Microsoft’s aggressive worldwide function as opposed to Amazon Web Services. Microsoft introduced hundreds of latest services and updates to Microsoft Azure alone. The maximum noteworthy are enhancements to Microsoft Cloud for Healthcare, Azure Defender for SQL, Password spray detection in Azure AD Identity Protection, Azure Stack HCI, Azure Stack Edge, Azure Data Factory now being to be had in 5 new areas, and many more. In this blog, we will be focusing on the 10 things that will change your perspective of Microsoft Azure growth, what is Microsoft Azure used for?, what Ethans Tech is providing in the training?. so let’s begin, 10 things that will change your perspective of Microsoft Azure’s growth: 1. Intelligent Cloud introduced the very best running income of all segments in the 2nd region at $6.4 billion or 36% of overall consolidated operating income. This sector, Microsoft’s achievement with oblique channel sales blended with greater organization customers accelerating their cloud-first projects contributed to Intelligent Cloud main all segments in operating income. 2. Synergy Research Group’s brand new cloud market evaluation reveals that Amazon and Microsoft are over 50% of the worldwide cloud provider market, with Microsoft accomplishing a 20% global market percentage for the primary time. 2020 organization spending on cloud infrastructure offerings became simply over $37 billion, $4 billion better than the preceding zone and up 35% from the fourth area of 2019. Synergy Research notes that it has taken simply 9 quarters for the market to double in size. 3. 63% of organizations are presently strolling apps on Microsoft Azure, 2nd most effective to AWS. Azure is narrowing the space with AWS in each the share of companies the use of it and the range of virtual machines (VMs) businesses are running on it. 6% of firms are spending at least $1.2 million yearly on Microsoft Azure. 4. 2020 overall cloud infrastructure offerings spending grew 33% to $142 billion from $107 billion in 2019, consistent with Canalys, with Microsoft’s indirect channel enterprise fueling their 20% market share growth. Microsoft’s dominance of oblique promoting channels is obvious in the stage of sales enablement, income, and technical aid they offer resellers. 5. 19% of companies assume to invest considerably extra on Microsoft Azure in 2021, leading all different cloud providers this year. Microsoft Azure leads all carriers while as compared to the proportion change in spending this year. It’s noteworthy that 61% of all organizations interviewed assume to boom their investments in Microsoft Azure this year, 2nd best to Microsoft SaaS software. 6. Microsoft Azure Stack is the second most-used personal cloud platform through enterprises, with 35% of them presently running apps today. Azure Stack additionally leads all others in experimentation, with one in 5 enterprises, or 21%, presently in that segment of deployment.. 7. Microsoft’s centerpiece for their intelligence investment is the Microsoft Intelligent Security Graph, which approaches over 630 billion authentications throughout our cloud services every month. Microsoft is predicated at the Security Graph to benefit insights into everyday behavior, which includes sign-ins and authentications and bizarre behavior, such as tried bypasses to two-element authentication. Microsoft blocks more than 5 billion wonderful malware threats per month, offering a brilliant deal of beneficial data to investigate endpoints throughout customers’ networks. 8. 44.5% of businesses say Microsoft Azure is their preferred provider for Cloud Business Intelligence (BI). Azure is taken into consideration 27% extra vital to an organizations’ Cloud BI necessities and choices than Amazon Web Services. It’s noteworthy that 96.5% of all firms have a preference for Microsoft Azure BI as opposed to its major competitors, such as Google Cloud, IBM BlueMix, or Alibaba. 9. Microsoft Azure is the main IoT platform global through end-to-end competencies with a complete rating of 276 according to Counterpoint Research. According to the methodology Counterpoint used for rating IoT platforms, Microsoft Azure is taken into consideration a worldwide leader in part data processing and more and more crucial characteristic of IoT systems worldwide. The ability to supply IoT skills from the cloud to the brink helped Microsoft’s platform rank excessive in this category. 10. Microsoft Azure is the inspiration for a Digital Supply Chain Platform that integrates supply chain partner, corporate, data & advanced analytics structures, and supply chain center transaction systems. The ongoing pandemic is setting persistent stress on supply chains. Most manufacturing executives say that worker safety, data security, remote employee access, supply chain visibility, and insights visibility are excessive priorities. In reaction to those market needs, Microsoft Supply Chain (MSC) was created at the Azure platform. What is Microsoft Azure used for? Microsoft Azure includes several provider offerings, its use instances are extraordinarily diverse. Running virtual machines or packing containers in the cloud is one of the most famous uses for Microsoft Azure. These computer assets can host infrastructure components, including area call system (DNS) servers; Windows Server services — together with Internet Information Services (IIS); or third-party applications. Microsoft additionally helps using third-party working systems, along with Linux. Azure is likewise generally used as a platform for hosting databases in the cloud. Microsoft gives serverless relational databases inclusive of Azure SQL and non-relational databases along with NoSQL. In addition, the platform is often used for backup and disaster recovery. Many companies use Azure storage as an archive so as to meet their long-term Data retention requirements. Microsoft kinds Azure cloud services into almost a dozen categories, including: 1. Compute. These services allow a person to install and control VMs, containers, and batch jobs, in addition, to assist remote application access. Compute assets created inside the Azure cloud may be configured with … Read more

Scope of Cloud Computing: Demand, Salary & Importance [2021]

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scope-of-cloud-computing-demand-salary-importance

Nowadays, cloud computing is one of the most pursued domains by students as well as working professionals because this niche has a huge demand in the present market. Why? It is because several enterprises as well as SMBs are adopting the concepts of cloud computing in their organization. With this, the number of vacancies for a skilled and certified cloud computing professional is also on a constant uprise. Top HRs and recruiters are always looking for a certified cloud computing professional because they have the potential to become an asset for their respective organization as they have all the necessary skills in the realm of cloud computing that makes them stay ahead of the competition. Cloud Computing Is the need of the hour because it is highly secured and an organization can save lots of money. It is because then the organization need not spent more on storage facilities and servers. Storage and servers are very costly and since cloud computing uses the idea of on-demand availability of computer system resources – an organization can utilize the saved money on other resources that cannot be replaced with cloud computers or similar concepts. With the aforementioned facts, we might have known by now that the scope of cloud computing is very bright because it is getting rapidly adopted in myriads of organizations. A few industries that have adopted cloud computing are healthcare, finance, education, manufacturing, automotive, sea and space exploration, robotics, and more. According to a report by the prestigious Economic Times, the cloud computing market in India is present as $2 billion and has the potential to expand with an annual growth rate of 30%. By the end of 2020, the Indian cloud computing market has reached a whopping $4 billion and for your information, it has also created more than a million jobs in this country which is more than similar domains. We are going to cover various related aspects of cloud computing that include: what is cloud computing, the scope of cloud computing, the demand of cloud computing, the salary of cloud computing professionals, interesting facts related to cloud computing, reasons to pursue cloud computing and more. With all these, you will have a complete idea about cloud computing and you will find that studying and getting a certificate in this niche is highly beneficial. So, let us start with: What is Cloud Computing? Cloud computing is the process of receiving on-demand computing services that are not limited to but ranges from storage, processing power, and applications. In an organization, cloud computing is achieved over the internet and it follows the idea of pay-as-you-go because the entire service is on-demand; so you will have to pay for the services that you are willing to use in an organization. One of the best parts of cloud computing is that rather than owning the entire computing infrastructure or data servers, an organization can opt to rent access to anything that varies from applications to storage centres and from a cloud service provider to application servers. Looking for a top-notch cloud computing course near me? Unlock the potential of cloud technology with expert-led training designed to boost your career. Enroll now and take the first step towards becoming a cloud expert! Understanding Cloud Technology In turn, cloud computing services providers can make huge benefits from significant economies of scale by distributing the same on-demand services to a broad range of customers. Moreover, the other benefits of cloud computing services include the ability to scale elastically in an enterprise as there is no particular approach that has to be followed or maintained. In terms of cloud computing, that means delivering the precise amount of IT resources to another SMB or enterprise. For example, providing more or less computing power along with bandwidth and storage at the right time when it is needed in the right geographic location. The major cloud computing services always run on a wide range of networks that are secure data centres, which are frequently updated and upgraded to the latest generation of efficient and fast computing hardware capable processors. This offers a wide range of benefits over a single corporate-handled data centre that includes a significant reduction in network latency for the required applications and greater economies of scale. Cloud computing eliminates on-site data centres that typically demand considerable “racking and stacking” which in general means complex hardware setup, software patching, and other time-consuming IT management services. Since cloud computing removes these many processes – an IT team can focus more and better on other tasks that will help them achieve more important business goals in a hassle-free manner. Scope of Cloud Computing in India The time is high and correct if you are thinking of getting into the world of cloud computing; the COVID-19 pandemic has shown us that numerous organizations including enterprises, SMBs, and start-up can run their entire operations on cloud computing which is great news because the pandemic has hit several businesses and most of the employees are working from home. This eliminates the need for using data centers and maintaining costly IT infrastructure in an organization; organizations can replace it all with cloud computing services and utilize the saved amount to fulfill other crucial processes and services. The scope of cloud computing is also immense because it has the potential to make data backup in the easiest way possible. With the help of cloud computing – disaster recovery, as well as continuity of complex business, is made easier and also less expensive. How? It is because data can be easily mirrored at multiple sites on the cloud provider’s network which would not have been possible if an organization was using traditional computer services. All these make cloud computing highly useful and thus we can see more numbers of organizations are utilizing cloud computing services in their respective companies. Read Full Blog – Pros & Cons of Cloud Computing? India’s Cloud Computing Growth These aforementioned trends and predictions prove that the scope, as well … Read more

How to Start Career in Cloud Computing?

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How to Start Career in Cloud Computing?

Are You Considering A Career In Cloud Computing? The demand for Cloud computing keeps rising, with 90% of IT firms adopting it during the pandemic’s digital shift. Cloud computing offers fast, reliable internet services for various uses like app development and data backup. It’s a promising career field in today’s digital age. How to Start a Career in Cloud Computing? To forge ahead in the career of cloud computing, you need to know the basics of the field. Cloud computing manages computing services that include application development, networking, storage, servers and data protection. There are different Job profiles that you can choose to advance in the career of Cloud Computing. So What are the career paths you can choose in Cloud Computing? 1. Cloud Architect A cloud architect’s main job is to set up and manage complex cloud services. This requires knowing a lot about how systems work and how to manage big networks. Architects also make sure the setups can change and stay strong enough for the company’s needs. 2. Cloud Network Engineer The task of a Cloud Network Engineer is to have various jobs at the same time. These duties include implementing and performing operational support systems and ensure the overall maintenance of the systems. They must also optimize the cloud infrastructure, which provides network software, hardware, and collaboration. 3. Cloud Product Manager A cloud product manager must have excellent presentation and communication skills. It also necessitates a thorough understanding of the company’s operations and the ability to handle the whole portfolio and various cloud-based services. They’re also in charge of evaluating different strategy papers, strategic development, and determining the best market positioning for a product. 4. Cloud Security Engineer A cloud security engineer specializes in providing security for cloud-based systems and is responsible for protecting the data of a cloud-based company. A cloud security engineer’s job also entails analyzing current cloud architectures and developing more secure security solutions. 5. Front-End Developer Front-end developers are in charge of adding visual elements to a website and interactive features such as navigation, buttons, and everything else that improves overall usability. HTML, JavaScript, and CSS are often used to ensure that a site’s visual side operates smoothly, allowing users to communicate freely and comfortably. 6. Back-End Developer  A back-end software developer is in charge of the server-side logic of web applications and the integration of front-end developers’ jobs. Back-end developers usually write web services and APIs used by front-end developers and mobile app developers. 7. Development Operations Engineer  Development operations engineers are entrusted with analyzing and monitoring functioning processes and tracking output data. They have in-depth knowledge of operational problems and technology. 8. Solutions Architect A solution architect is a member of a solution development team responsible for the design of one or more software or services within an organization. He or she will also consult with an enterprise architect for strategic guidance and have a balanced combination of technical and business skills. 9. Cloud Developer Cloud developers are software engineers with a cloud computing speciality. That means, in addition to programming skills, Cloud Developers must have a thorough understanding of cloud systems, including not just how they work but also how to implement them safely, effectively, and with minimal downtime. 10. SysOps Administrator The AWS SysOps Administrators are in charge of maintaining, using, and running the AWS platform’s systems. They are also in charge of maintaining and operating the AWS infrastructure business and billing and cost optimization. Tip To Starts Your Cloud Computing Career. 1. Get your certification You can start with a certification course in cloud computing. Choosing the right one is the key. There are several cloud certifications available to brush your knowledge. You can choose from the courses below: AWS: AWS is a cloud pioneer, with eleven certifications available. This is the best course to pursue as it provides foundational skills and technical knowledge to work with cloud services. Microsoft Azure:  Microsoft’s role-based certification requires you to know the fundamentals of cloud servicing systems. This certification offers great beginner-level path lading to associate and then expert-level certification. Google Cloud Platform:  The Google certification program has grown in terms of the number of certifications it offers, and it includes G-Suite productivity and collaboration tools, giving a boost to your career. 2. Understand The Basics  The next step is to understand the critical fundamentals of cloud computing systems. This will help you understand the industry’s inner workings and help you strengthen your foundation to a more robust profile in cloud computing. 3. Upgrade Your Skills Upgrade your skills required to broaden your knowledge about cloud computing. To excel in cloud computing, you need diverse skills complementing computer networking and systems. Mastery of programming languages such as Python and XML is essential. Additionally, expanding your knowledge in Database Management, Machine Learning, and Operating systems will further enhance your career prospects in Cloud Computing. 4. Master Your Way To The Top The next step is to master your skills with advanced training. There is numerous amount of advanced training for cloud computing that helps you under the Cloud services better. You could use books, online training, and other training programs to help you brush up your skills. 5. Create A Portfolio Build an excellent cloud portfolio with reputable references that portray your growth in cloud computing. Compile a list of all the clients you have worked on with solid references. Ensure you have a physical and online portfolio to have a strong front as someone who wants to work in cloud computing. 6. Have Reputable References Work under professionals who are working at a very advanced level. Intern for them. 7. Team up Start looking towards working as a team in freelance projects and team up with individuals to be a part of projects that bring reputation to your profile 8. Apply to IT Companies Once you have a compiled portfolio of all the projects, you can start applying for multinational companies. The amount of work experience you gather in … Read more

Cloud Architect Salary in India [2023] – Ethans Tech

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Cloud Architect Salary in India [2023] – Ethans Tech

One of the heaviest profile in cloud computing is that of ‘The Architect’. As intimidating as it may sound, this blog is an outline of everything you would want to know about the remunerations of working as a cloud architect for a fresher and an experienced professional. What is a Cloud Architect? Cloud Architect is a professional equipped with knowledge responsible for converting the technical requirements in designing and implementing cloud computing as a final product. The Architect’s key responsibility is to bridge the gap between the complicated business problems and solutions with superior technologies or a set of technologies that drive the cloud computing solutions. Cloud Computing Architecture is the umbrella term for integral and immersive components for cloud computing. The integrals usually consist of front end and back end platforms, a cloud-based delivery system and a cloud network. Cloud Architect Career Paths A cloud solutions architect is equipped with different job profiles; under the term, Cloud Architect, the profiles of development operations manager. Development engineers know the operational problems and technologies in detail and have a responsibility to research and observe operating systems and record data. They need to define operating goals, set project objectives and establish operational solutions through the definition, analysis, estimation and screening of alternative solutions. A Cloud Architects Median pay falls in the bracket of 405k to 3M, from entry-level to an experienced professional. After DevOps Engineer, the somewhat familiar job profiles including Sr. DevOps Manager, Software Development Engineer, Build and Release Engineer. Senior DevOps Manager works with senior management to help implement the organisation’s strategy and address the most complex technical challenges of a company. In developing and developing internet, smartphone and software apps, Software Engineers and Developers also work on particular devices such as computer and mobile devices. They often use several programming languages to operate networks, databases and operating systems. Build and Release Engineers are specialised in software products and implementations management, documentation and enhancement of an enterprise. They are responsible for the supervision and timely release of applications for organisations, and they can handle the production to execution software delivery process. Source Skills & Qualifications for Cloud Architect? If you are an aspirant for becoming an Architect for Cloud Computing, ideally, you would already have a solid background in cloud computing or a related technological field when. You are definitely on the right track, whether you are familiar with most or at least some of the following principles. Otherwise, before you address the position of the cloud architect, an initial study or work in these areas is suggested. Here are the skills and qualifications required to become a Cloud Architect: As an aspirant Cloud Architect position, you have extensive knowledge of at least one operating system like Linux, Unix, Solaris, Ubuntu, Windows. Any Linux operating devices (for example, Ubuntu or Red Hat) are preferred. Still, it also helps to have previous experience with one of the most common systems as an Administrator or Architect. It is important to have a Networking understanding of TCP/IP, IP, HTTP, DNS. It is recommended that, before playing a role as a cloud architect, you know these principles. As an aspirant of a Cloud architect profile, you need to know a programming or scripting language at least to a minimum. Possibly this isn’t a must, but it certainly helps give your profile a strong boost. Cloud security is critical, and therefore, it is necessary for a cloud architect to have a high-level understanding of essential security concepts. An initial version of certain fundamental safety principles, including firewalls, is required. The use of databases by any software architect should be known and understood. You’ll need to compare different capabilities, performance and pricing from basic but powerful bucket storage to Relational Database Service to complete clusters and choose the most suitable way to store some or all of your company’s information. Communication and comprehension of your vision to software developers, managers and fellow architects will often bridge the gap between great architectural design and its implementation. You will have to learn how to articulate your ideas through letters, papers, and presentations so that your team can persuade you of the best approach. Work on your capacities in production, learn how to write and use a diagramming tool to display complex environments. Ten slides with 20 ballot points each are superior to a single diagram. Cloud Architect Duties and Responsibilities Organisations face the need to adapt their processes and technologies to meet emergent business needs in a rapidly evolving technology setting. This digital transformation requires unique skill and a range of activities to bring business attention to technological solutions. To find the best technology solution for solving the current business challenges among everyone. To have a description of project participants’ software structure, attributes, behaviours and other aspects. To set the specifications for functions, phases and solutions. To get the specification for defining, managing, and delivering the solution. Translate projects in a cloud structure that meets these requirements and takes into account project needs The holistic design of the cloud environment ensuring that it fulfils all the requirements of the organisation. Deploy, maintain, track, and handle activities in this cloud structure implemented. Maintaining cloud security To complete implementation into the cloud environment of new software. To work with business customers to identify their needs and incorporate cloud solutions that address these requirements. Keep the use of the cloud space to make sure that the structure works completely. To migrate and put tools and other components into the cloud where possible. To work with virtualisation technology to achieve business efficient server management. Cloud Architect Engineer Duties and Responsibilities Include: Cloud architect-engineer has the key responsibilities of Cloud-based applications planning, design and development. Cloud environments are managed according to company safety instructions. Depending on the best practices, the deployment and debugging of cloud projects during the growth cycle. To work with our tech team to find and develop the best options for the business in the cloud. To implement Cloud-based … Read more

Career Opportunities in Digital Marketing in India [For Freshers & Experienced in 2021]

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Career opportunities in Digital Marketing in India For Freshers & Experienced

The scope of career in digital marketing is on a boom and hundreds of thousands of candidates are trying their hands on this domain so that they can have a prosperous career and a happier life. The career opportunities are highly rewarding in this domain. If you are the kind of person who is not very fond of technical stuff and want to try something avant-garde, then digital marketing is for you. This niche is filled with challenges to overcome and you can learn something new every day. Career/Jobs Opportunities in India The job opportunities are not limited to this domain. One can become a digital marketer, ad expert, content writer, search engine optimizer, web developer, social media expert, email marketer, graphic designer, and more. All these roles are totally different from each other and have lots of value on their own. The rate of growth for the need of digital marketers in India alone was approximately 12% in 2016, 14% in 2017–18, and about 24%-37% is expected to grow by 2020–2021. Now, let us see the various job roles in the world of digital marketing: 1. Search Engine Optimization What is Search Engine Optimization?  In simple words, search engine optimization is the process of increasing the visibility of a website on search engines; not just Google but any search engine that may include – Yahoo, Bing, Yandex, Baidu, AOL, Ask.com, and more. Search Engine Optimization plays a major role in the realm of digital marketing as it elevated the ranking of a website and thus helps a business to gain more profit as they are more visible on search engines. Search engines such as Bing and Google utilize crawlers or bots to crawl pages on the internet that goes from site to site. This is used to collect all possible information about those web pages and then the bots put them in an index. After that, a complex level algorithm analyse the pages in the index and takes hundreds of ranking factors into account in order to determine the order of pages that should appear in the search results for a given search query. Myriads of job roles exist in the domain of search engine optimization and the major ones are: SEO Head SEO Manager SEO Team Lead SEO Executive/Analyst SEO Trainee Various Search Engine Optimization Designations: Eligibility and Qualification Required Let us see in detail what types of job roles are available in the domain of search engine optimization. The major job responsibility of these job roles aligns with each other as they all want to rank a website higher on search engines. They are the ones responsible to do search engine optimization activities so that a business can generate more profit than before. 1. SEO Head Eligibility: At least 4-5 years of experience in digital marketing Qualification Required: A bachelor’s or master’s degree 2. SEO Manager Eligibility: At least 7 years of experience in digital marketing Qualification Required: An MBA is preferred for the role of SEO Manager. 3. SEO Team Lead Eligibility: More than 5 years of experience is preferred Qualification Required: A bachelors or master’s degree will be great 4. SEO Executive/Analyst Eligibility: 1-2 years of experience is required for a professional to become SEO Executive/Analyst Qualification Required: A bachelor’s degree will suffice for this job role. 5. SEO Trainee Eligibility: A fresher can apply for this job role as one will learn a lot in this trainee/fresher job profile. Qualification Required: A bachelor’s degree.   Average Salary Range for Each designation in SEO The salary is different for different types and levels of experienced professionals. For obvious reasons, a 5-year experienced professional will get more salary than a 2-year experienced SEO professional. The salary will increase with time and experience; so be patient and enjoy the journey towards becoming a great SEO working professional. Enjoy your job responsibilities and you will see that you are already on the path of becoming a successful professional. Role Salary in Rupees 1. SEO Head 8-10 lacs per annum 2. SEO Manager 7-8 lacs per annum 3. SEO Team Lead 6-7 lacs per annum 4. SEO Executive/Analyst 3-4 lacs per annum 5. SEO Trainee Depends upon the organization 2. Search Engine Marketing (SEM) or Google Ads What is Search Engine Marketing? Search engine marketing is a surefire way of marketing a business that uses paid advertisements which appear on search engine results pages also known as SERPs. The advertisers bid on the selected keywords that users of a search engine such as Google and Bing may enter when they are looking for certain products or services. This will give the advertiser a tremendous opportunity for their ads that will appear alongside results for those search queries. These ads are also known as pay-per-click ads that come in a variety of formats for an SEM professional. Some might be small and text-based ads, whereas others, which include product listing ads also known as PLA or shopping ads are more visual in nature. The product-based advertisements allow the interested consumers to watch important information on the go that generally includes ratings, reviews, and price. Various types of job roles exist in the niche of Search Engine Marketing. The major ones are: SEM Head PPC Account Manager PPC Team Lead PPC Executive/Analyst PPC Trainee Various Search Engine Marketing Designations: Eligibility and Qualification Required Let’s see what the eligibility is and the qualification required for various job roles in the realm of search engine marketing. Here, one person might report to another in order to get a job done. Rarely, they work in isolation because at some point a professional needs help or assistance from other working professionals. The main goal is to optimize ads and get the maximum business out of them. 1. SEM Head Eligibility: More than 7 years of experience Qualification Required: A master’s degree 2. PPC Account Manager Eligibility: 5+ years of experience Qualification Required: A master’s degree 3. PPC Team Lead Eligibility: 3-5 years of experience Qualification Required: A bachelor’s or master’s degree 4. PPC Executive/Analyst Eligibility: 1-3 years of experience Qualification Required: A … Read more

Agile Vs. DevOps: Difference Between Agile and DevOps?

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Agile Vs. DevOps: Difference Between Agile and DevOps?

Difference Between Agile and DevOps Let us first see, what agile methodology is and how it is different from DevOps! DevOps is a kind of software development method that solely focuses on integration, collaboration, and communication amongst IT professionals and enables them for the process of rapid deployment of applications and products. DevOps is a software development culture that promotes teamwork between various departments of an organization but mostly the Development and Operations Team; hence the name DevOps! This method allows deploying the written code to produce an application faster and that too in an automated way. In short, DevOps helps boosts an organization’s speed to deliver applications and services to its respective customers or clients. In the simplest of the world, it can be defined as an alignment of development and IT operation. On the other hand, the agile software development method refers to a group of software development methodologies that are based on iterative development procedures, where solutions, as well as requirements, evolve via a simple collaboration between the self-organizing and multi cross-functional teams. Agile methods or agile processes mostly promote a much-disciplined project management system that always encourages frequent adaptation as well as inspection. Agile is a type of leadership philosophy in an organization that boosts cooperation, accountability, and self-organization that are a set of engineering best practices. These best practices are planned to allow for rapid delivery of high-quality software to the clients, and a nifty business approach that aligns everything all together, i.e. development, the needs of a customer, and business goals. What Agile is All About? The agile methodology is a very popular kind of software development approach in an enterprise as it aligns with the most important aspects of a business. The agile approach is designed to address the present gaps in customer and developer communications. Agile refers to an iterative approach that focuses on collaboration, customer feedback, and small, rapid releases. Agile helps to manage complex projects and it focuses on constant changes. The agile methodology requires a small team and the target area is majorly software development. Agile is dedicated to focusing on the function as well as non-functional readiness of an enterprise. What DevOps is All About? DevOps is designed to address the existing gaps between the IT and Operations team. DevOps is an approach to bringing the IT development and operations teams together whereas as it always focuses on the methodology of constantly testing processes and delivering applications on time. The DevOps approach in an organization requires a large team because both teams have to undergo several discussions before a product is deployed in the market based on the customers’ requirements. DevOps is dedicated mostly to the business and operation readiness of an application. The major target area of team DevOps is to render swift end-to-end business solutions and to meet the pre-requisite of fast delivery of a product or an application. Agile Vs. DevOps: Comparison Based on Different Aspects Agile and DevOps are completely different from each other; agile is more responsive towards requests and is meant to develop an application via high-value features. It delivers quickly via short cycles and the work involves in this approach is used and valued a lot. The non-productive work is reduced in the agile process and planning takes place daily via task-level tracking. In this process, everyone involved has complete knowledge of the project status thus they can catch and address multiple issues quicker than any other approach that exists in an organization. DevOps promotes operational support and faster fixes for an application and it supports good and highly functional processes across the IT and operations team that also includes automation. DevOps is dedicated to increased team flexibility and agility as it helps the development team to process codes faster and develop a product quicker. The teams involved are happier and are more engaged than ever. DevOps supports the concept of cross-skilling and self-improvement via increasing the efficiency of the development and operations team. Teams get indulged in collaborative working and last but not least, they get respect from senior management as the goals of both teams are aligned in the same direction. Now, let us see Agile vs. DevOps bases on different aspects:  1. Agile vs. DevOps – Purpose: Agile is useful when it comes to managing complex projects and resolving the issues that come within while handling them. On the other hand, DevOps comes in handy when an organization wants to manage multiple end-to-end engineering processes. 2. Agile vs. DevOps – Task: Agile is a methodology that has been adopted in an organization for several decades and it focuses on constant changes that occur while managing a project. DevOps is dedicated to constant delivery and testing in multiple phases of application development. 3. Agile vs. DevOps – Implementation:  The agile methodology can be easily implemented within a wide range of frameworks that are tactical such as sprint, safe, and scrum. On the contrary, the major objective of DevOps is to simply concentrate on themes such as collaboration and teamwork, so DevOps doesn’t have any predefined or accepted framework in an organization. 4. Agile vs. DevOps – Team skillset: The agile development methodology is a strong proponent of training all the available team members. This will form a team that has a wide variety of equal as well as similar skills. DevOps process is based on dividing and spreading the existing skillset between the operations and development teams; that’s it – plain and simple. 5. Agile vs. DevOps – Team Size: In agile methodology, the team needs to be small so that fewer people will need training and they can move faster towards a common goal. DevOps needs a larger team as stack holders are involved in the process including the entire development and operations team of an organization. 6. Agile vs. DevOps – Duration: The method of agile development is managed in smaller units also known as “sprints.” The time required to complete an objective is much lesser than … Read more

Data Science vs Machine Learning and Artificial Intelligence

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With the growing importance of data in every sector, terms like data science, artificial intelligence and machine learning have become new buzzwords. People often get confused and use them interchangeably which is wrong. These terms are interconnected but not interchangeable. There are some overlaps in the applications but each term has its own specific usage in the businesses. In this blog we will try to explain the meanings and applications of data science, machine learning and artificial intelligence. Whether you are from IT or non-IT background, you will have a clearer understanding of the terms by the end of the blog.                   Let’s have a quick look at these three terms before diving in the differences and uses. What is Data Science? Data science is used by the companies to get new results from the data. Data Science works with both structured as well as unstructured data. It involves every process related to data- data selecting, preparing, and analysing. It uses various techniques involving statistics, mathematics, and programming to extract meaningful insights and patterns from the large volumes of raw data that are relevant for the businesses. Among all three AI, ML and Data Science, data science is the most widely used technique. Data has become revenue in today’s world as more data can help the organization in generating more business insights. Companies are building recommendation engines using data science that can predict user behaviour. Accurate results can be achieved by applying various algorithms to the vast amount of data available. The more the data, more accurate the results that companies can get. What is Machine Learning? Machine learning is the science that aspires to enable computers to process new data input without explicit programming, based on the learned prototype. It aims at preparing machines to act and learn like humans, where the learning can be improved over the time in a self-sufficient way i.e., without feeding them manual categorical instructions to perform a specific task. In ML, data is fed to the standard algorithm, and the machine builds the logic of its own through that information. No code-writing is involved to perform tasks. In other words, ML is about making machines learn to program themselves. ML helps in making programs scalable with better output results in shorter period of time. But the question that comes to most of us is: how do we make a machine learn? There are three different approaches used 1. Supervised 2. Unsupervised 3. Reinforcement learning In supervised approach, machine uses labelled data to recognize the characteristics for future outputs. In unsupervised approach, unlabelled data is simply put and the machine understands and classify according the characteristics. For eg if we want to classify between birds and animals, supervised approach will provide some labelled pictures and then machine will classify the rest of the data while in unsupervised approach, data will be provided and the machine will classify it without any labelled data provided. In reinforcement approach, machine tries to learn algorithms by analysing the rewards and errors produced by the actions performed like the game of chess. With the help of Machine learning, recommendation engines would not be possible as it is not realistically possible on a human level to go through millions of reviews, likes and search queries to determine the favourites of the customers. What is Artificial Intelligence? Artificial Intelligence can be referred to the imitation of human brain functions by machines. AI focusses on creating machines to do logical reasoning, learning, and self-correction like humans do. The apps that can play games to the speech recognizing devices like Alexa- all are related to AI. Devices are trained to solve problems and learn in a better way than humans can. It is accomplished with the help of artificial neural network created to replicate human intelligence. AI is one of the most complicated technology with lots of computing required. Artificial intelligence is categorised into two parts- General AI and Narrow AI. AI can be described as a vast collection of algorithms(mathematical) to help device establish relationships between the bits of data provided in such a way that this information can be used to derive accurate decisions. Here it should be taken in account that data provided should be enough. If the data provided will not be enough then the accuracy can be low for the predictions provided. Artificial Intelligence needs data to learn and make accurate decisions, hence more the data available, more accurate the predictions/decisions provided will be. Also, the data provided should be accurate as AI focusses on self-correction.  Data Science vs Machine Learning vs Artificial Intelligence   Data Science          Machine Learning   Artificial Intelligence Data Operations are included Data Science collects, analyse and processes data to obtain information. DS uses both structured as well as unstructured data. Popular tools used are Apache and Tableau. Healthcare Analysis is an example. It is a subsection of Artificial Intelligence   ML feed data to the algorithms to perform explicit tasks without writing codes for the specific tasks.     Statistical models are used by Machine learning.   Popular tools used are Lex and ML Studio.     Recommendation systems like Spotify is an example. It includes ML   AI uses vast amount of data through mathematical algorithms to make devices learn automatically.     Decision trees and logics are used by Artificial Intelligence.   Popular tools used are TensorFlow and Keras.     Chatbots is an example. Data Science vs Machine Learning and Artificial Intelligence: Skills Required Some of the required skills for the job as a data analyst, data scientist or data engineer that can help you stand ahead from the peers are data visualisation, data reporting, programming, risk analysis, and data warehousing. Some of the skills required to grab the best jobs available in the market in ML and AI are programming language like c++ and python, ML algorithms, probability, Distributed computing, statistics and data evaluation. From the skill set … Read more

A Complete Guide: How to Start a Career in Data Science?

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Starting a Career in Data Science? In the modern era, starting a career is not that difficult thanks to various colleges, institutions, and universities that have adopted Data Science in their regular curriculum. Moreover, due to the presence of online classes, several students as well as working professionals are getting their certification from reputed professional training institutes and are enjoying a prosperous career in the domain of data science. A career in data science is highly rewarding as various industries are hiring professionals who are great in data analysis and are proficient in similar stuff. Top HRs and recruiters are on a constant lookout for skilled data science professionals. Did you know – according to Forbes Data Scientist is one of the hottest jobs of the 21st century? If you are planning to start a career in Data Science this is the best time as Naurki.com has 19375 jobs available for candidates in their portal. You will be glad to know that the U.S. Bureau of Labor Statistics predicts strong growth in the role of the data science field and states that the number of jobs will increase by about 28% through 2026. The scope of data science is huge as every SMB and enterprise wants to know what to do with the data that is available to them; how to process it and convert it into useful information. Related Blog: What is Data Science: A Comprehensive Guide for Beginners 15 Tips to Start a Career in Data Science Do you want to start a data science? Are you willing to take the charge in your hand and take your career to a whole new level? Have you got stuck in your current job position and want to power ahead your career? If yes, then you have come to the right place as we are going to see 15 tips to start a career in data science. Starting a career in data science depends on myriads of facts and we are going to see them all in brief. There is a slight margin between good and great data scientists and if you are going to follow the below 15 points then no one can stop you from being one of the best data scientists in the world. With the acquired skills you can revolutionize any industry and everyone will welcome you with open arms and hearts. Here are the 15 tips to start a career in data science:  1. Hone Your Mathematical Skills It is a rule of thumb that every data scientist must be good at mathematics so it is quite pivotal that every data scientist must start polishing their mathematical skills. A data scientist will have to analyze data and convert it into actionable insight; collect vast data and organize them into a structured format. Data science is all about finding patterns and it can be achieved only with the help of a strong foundation in math. 2. Learn Python, R, and SQL To become a great data scientist knowledge of certain programming languages as well as databases is compulsory. Learn Python, SQL, and R and prove that you possess all the skills and knowledge required to become an asset to an organization. With these aforementioned programming languages and a firm knowledge of databases, you can easily start working with a private or public sector organization. These programming languages will make you an outstanding coder and will assist to boost your statistical computational skills. 3. Do Internships Doing an internship is a great way to acquire relevant data scientist skills. Many candidates think that they will not get paid during the internship but that’s not the point at all; gaining skill is! Go for an internship in an MNC or even a startup organization to know how an organization works within departments and skyrocket your hands-on experience via practical knowledge. Prepare well by practicing a lot before the interview as this will be the deciding factor for your career. With an internship, you will have the opportunity to solve real-world problems, and also you will get real-time feedback on your performance which is necessary to boost your confidence if you want to become a very good data scientist. 4. Go for Professional Training Enrolling yourself in a reputed professional training institute is highly recommended if you want to attain skills and knowledge that will make you a great data scientist. A professional training institute has mentors and instructors that are willing to make you learn data science with their huge experience. These professional training institutes teach you the basics and advanced concepts of data science via real-life examples and projects which go beyond the typical classroom approach. Also, you will be given a reputed and valuable certification once you have successfully completed the data science training. 5. Begin as a Data Analyst Numerous candidates think that data scientists and data analysts are the same but that’s a myth. It is advisable that you should start working as a data analyst and once you have gained enough experience and knowledge then you can move towards being a data scientist. A data analyst’s role is to manage data collection and perform identification of dataset trends; they might not be involved with the coding part. But a data scientist has to be well-versed with coding concepts as well as we have already seen that in point no. 2. 6. Create a Strong Network By creating a strong network we mean to say that you should create a strong connection with people who are already working as a data scientist. Why? It is because doing so will help you gain knowledge in this niche and also they can help you recommend their respective organizations for the job role of a data scientist if they have vacancies. Through your network, you can seek assistance if you are stuck in any project or simply if you want to clear your doubts. You should join online communities, groups, and forums because their people are always willing to help each other. … Read more

Career in Digital Marketing: A Comprehensive Guide [2021]

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What is Digital Marketing? In olden days, marketing was all about TV ads or newspapers or leaflets. But with the easy access to the internet, marketing is also evolving. Marketing is now mostly about reaching your mobile and laptop screens, about popping up on your google search. And that is called Digital Marketing. Digital marketing can be defined as a wide range of marketing tactics that mainly relies on the internet to reach and connect with the specific segment of the audience. Digital marketing consists of a number of Internet marketing techniques, such as search engine marketing (SEM), search engine optimization (SEO), search engine marketing (SEM), email marketing and so on. It also includes non-Internet channels such as short messaging service (SMS), multimedia messaging service (MMS), call back, e–books, and games. With marketing being Objective of digital marketing is to engage customers in a two-way interaction: between the customer and the company. This interaction is attained by designing interactive digital media. It helps in understanding the requirement of the user with some kind of end user action. For example, to receive a free demo, a student might be required to register or fill out an enquiry form, benefiting the advertiser with a valuable customer or lead. Who is Digital Marketing for? Since the 90s when digital marketing was first introduced, it is changing the structure of marketing all over the world. With Digital Marketing setting new trends, it has become a must have skill for almost everyone. Let’s find out who is digital marketing for: 1. Entrepreneurs: With the help of internet and digital marketing, entrepreneurs can help their businesses by targeting the audiences that will be genuinely interested. Digital marketing can give you an access to audience without any geographical barrier. Effective planning and planned audience targeting Digital Marketing strategies have the highest potential to reach the right customers at a much lower price. It can create a big impact and earn loyal customers for any business. 2. Engineers and MBA: With the MBA and engineer degrees losing the charm in todays job market, Digital marketing can be considered as the new mint maker. Knowledge of techniques of digital marketing can surely help the engineers and MBAs to get the roles as per their expectations as it will help you stand out in the crowd. 3. Students: Digital Marketing doesn’t need any technical knowledge and hence is easily understandable. With more and more digitalization happening, job market has huge number of opportunities for digital marketers that can help companies in promoting the products and services online by creating the right kind of buzz with advertising. Pursuing the career in Digital Marketing can be of huge advantage for the students in today’s saturated technical market. 4. Housewives: With the help of digital marketing, you can start your own venture where you can work at flexible hours. Being a freelancer can give you the choice to take projects according to your own pace. These activities don’t even require a lot of money to start. What Does a Digital Marketer Do? A digital marketer is responsible for creating brand awareness online. Digital marketer is the professional with the specialisation in growing revenue for the companies with the help of digital advertisements and communications. Some of the tasks of the digital marketing professional are: Designing, managing and analyzing campaigns on digital platforms Content writing, creating backlinks and Press releases Designing websites and landing pages Digital marketing has a wide range of jobs for every creative soul varying from being a content writer to a graphic designer and video editors. Career in Digital Marketing Digital marketing has become the most effective way for the promotions and marketing of products and services, reaching out to a targeted audience. It can be said that digital marketing is the fastest mode of advertisement and hence businesses from all the sectors are focussing on digital marketing activities. According to the article by Business Insider, India’s digital economy is expected to touch $1 trillion mark by 2022. Some of the reasons why digital marketing is a good career choice are listed below: 1. Diverse career: Digital marketing industry provides a wide range of career opportunities like Digital Marketing Executive, Social Media Manager or Content writer. 2. Flexibility: One can explore both full-time and freelance opportunities in digital marketing field as these jobs don’t need you to be in the office. You can work from anywhere at your own convenience. You can also explore the options of working on per project basis instead of number of hours per week. 3. Pay Cheques: Companies know the power of digital marketing with the digitalization happening in every sector. Hence, the businesses are not shying to allocate huge budgets for digital marketing and professionals who can do that. 4. Be the Creative One: If you want to let your creative juices flow freely, digital marketing is your choice of career. Its not some boring 9 to 5 job, instead it can provide creative opportunities with its vast pool of requirements for bloggers, content writers, Ad creators, video editors, to name a few. 5. Evolving Career: The career in digital marketing is continuously evolving with the change in strategies. This is an attractive career for those who wants to stay updated with the current trends and wants to be the one experimenting in the career. Future Career Scope of Digital Marketing in India The internet penetration in India, according to a report, is the highest in the world leaving US and UK behind. In the present digital era, almost everyone is present on the internet regardless of their age, gender or location. Acc to a survey around 79% of the people are using internet through their mobile phones. A company with business acumen can’t ignore these users, making the career in Digital Marketing in India relevant for growing the businesses. With online advertising market in India growing a rate of 30% every year, there is a huge void for digital marketers. With the government supporting ‘Digital … Read more