How to Start a Big Data Career as a Fresher in 2020?

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How to Start a Big Data Career as a Fresher in 2020

Big data is a field that deals with data sets that are too large or too complex to be dealt with data-processing application software. Only experienced people work on Big Data is one of the biggest fallacies. Whether it is an old technology like mainframes or something latest as Big Data, there is no such domain or industry where freshers are not required. In this blog, we are going to focus on How Big Data is going to help a fresher in the long run as a career

In 2006, Clive Humby coined the phrase, “Data is the new oil”. He further explained that like oil, data is extremely valuable, however, data must be broken down and analyzed for it to have its business value. 

Why has Big Data suddenly become the biggest thing as a career option?

Each company generates a huge amount of data every day. This comes from every possible domain we could think of. A large set of companies are left with a huge amount of data with absolutely no idea on how to proceed with it.  A company’s benefit arises from the data that they collect. They make proper use of it for managing several other sub-domains within it as IT, Retail, Banking, Pharma, Hospitality, Healthcare, FMCG, Media, Sports, etc. A minimal percentage of employees were able to do it, however, the results were not quite insightful in order to present a bigger picture. Industry experts mention that technology and education have created an environment to trigger analytical thinking abilities. Companies are now making decisions based on the insights received. This came as a surprise to a lot of companies as they saw significant growth in figures just by proper analysis of data, hence creating a large demand for Big Data analysts.  

What are the necessary skills for Big Data as a career option?

While having a pre-requisite skill helps in securing a job and a higher package, it always depends on what the job description demands. Recruiters consider basic pre-requisite skills of Hadoop, programming knowledge with basic Java as relevant skills. Technical skills like have always come a long way when it comes to getting a job in Big Data along with knowledge about tools like: 

  • SAS (market leader among statistical analysis tools)
  • R (open-source and good for statistical analysis/machine learning)
  • Python (good for machine learning)
  • Hadoop (to handle a large amount of data)
  • Tableau (Data Visualization)
  • Excel
  • VBA
  • SQL

Diversified roles in Big Data demand different skill set but there are few common technologies which certainly gives an edge while applying for big data jobs. The ones which are the most important among them are Hadoop, Apache Spark, Pig, Hive, HBase, and Yarn. Gaining expertise in these technologies will help in understanding the specific tool. However, having a hands-on practice about the tool will raise the bar for the competitors and help in getting closer to Hadoop interview calls.

Is certification important for a Big Data Career?

A certification helps interviewers get an overall idea about the tools, specifics, and applications required for a fresh Big Data aspirant. Hence, a certification answers more than half of the questions of the interviewers. We, at Ivy Professional School, believe that education is much above than certification. We ensure that a fresher enhances himself/herself so well that the certification treats as an added advantage to their exemplary skills.

When it comes to Big Data especially, our experience and techniques have been unmatched. Being an official learning partner of Genpact, HSBC, eBay, PayPal, Cognizant, Capgemini, etc, Ivy has been pioneering in certifying students in Big Data technologies. Our vision aims at involving our students in the subject so that they start thinking analytically and generate a logical approach. The Big Data Certification by Ivy Professional School will not only look into the theoretical aspects but also ensure that the candidate is well versed with the hands-on projects. We make them ready for real-time projects in various MNCs by providing real-world problem scenarios as a part of academic projects. At Ivy, we are confident this will make the students practice as much as possible and help them in getting to know the subject better.  Here are some of the projects that Ivy specializes its students with: 

  • Industry Executed Modeling Projects in SAS

    • Projects from Retail, Healthcare, Finance, Education and Aviation Industry
  • Projects with R

    • Dedicated Practice Sessions on Industry Scenarios in R
    • Industry Executed Projects in R

  • Hadoop Project – Connecting the Hadoop ecosystem with ETL Tool

    • Moving data from local file system to HDFS
    • Writing Map Reduce Code
    • Moving data from HDFS to Database
    • Writing Pig Query
    • Writing Hive Query

big data tools

What are the types of job roles in a Big Data Career? 

Big Data is not one person’s job, thus an organization would definitely have to divide the whole process among various specialists in Big Data in order to get the work done in an effective and timely manner. One who specializes in the development might require help in monitoring the process as the admin. 

  • Big Data Engineer:

    • This job role requires working closely with other analytics team members in order to optimize the data systems and pipeline architecture of the organization. 
    • To design and build the infrastructure which further helps in data extraction, data preparation, and loading of data. The database source used is SQL and AWS. 
    • It requires the building of analytics tools that will help in developing actionable insights and making way for several discoveries. 
  • Big Data Developer:

    • One of the most demanding roles for freshers is a big data developer role. They specialize in creating, testing, implementing, and monitoring the applications that are designed to meet the strategic business goals of an organization.
    • There are numerous job opportunities available for this role. One needs to know the technology and think like a developer.
    • One must also have hands-on knowledge of various programming languages.
  • Big Data Hadoop Professional:

    • A Hadoop Professional is expected to have the ability to work with huge volumes of data. 
    • Analyzing the data, and deriving insights, help in proposing data-driven business strategies which can be done by a Hadoop Professional. 
    • Should have the idea of installing, configuring, maintaining, and securing Hadoop. 
    • Un-learning and re-learning the concepts are also important when it comes to devising business strategies. 
  • Big Data Admin: 

    • Big Data Administrators / Hadoop Admins are primarily responsible for maintaining the Hadoop clusters running effectively in production. 
    • They not only administer but also manage the Hadoop clusters among with other resources in the Hadoop ecosystem. 
    • This job role is more customer-oriented.

The salary of a Big Data engineer is growing exponentially. Especially in a country like India where data is abundantly available, it is one of the most exciting jobs as it requires continuous analysis and data management. If you are such an enthusiast who wants to know about how to make a career in big data or looking to switch your domain, we are here to help you. Ivy Professional School aims at providing in-depth knowledge about Big Data to whether it is a fresher looking for a career transition or someone who wants to up-skill. You can contact us via email or at +91-7676882222.

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