Career in Big Data Analytics

By Avinash Bharwani

Big Data industry has been growing day-by-day, currently it has reached upto Rs 136 billion and the projected size of the industry by the end of 2025 (as stated by Nasscom) is estimated to be about Rs 1088 billion. This sector is expected to grow at a compounded growth rate of 26% over the next 5 years and India is projected to have 32% share in global markets. There has been consistent growth in the demand for people who know Big Data, Hadoop, and related technologies. This market will also be driven across various industries such as manufacturing, retail, financial services, telecom, etc.

Big data is used to process, store and extract values, this can be derived from data of all forms and sizes. Both structured and unstructured data’s support for systems would rise in large volumes from time to time. Big Data technology is fast, simple and easy. Additionally, options are being searched to pace the speed of Hadoop. The good news about Big Data is that it is growing and this technology would continue to grow. Terabytes, Petabytes, Zettabytes are commonly used terms in Big Data.

What is Big Data Analytics?

It is the process of examining large and varied data records such as big data to expose hidden prototype, unidentified correlations, market movement, client preferences and other useful information that can help organizations make more-informed business decisions.

In today’s day-to-day business operations, nearly every major consulting and research firms across the world have recognised the far reaching connotation of Big data Analytics. Such research or consulting firms have started setting up groups of teams to prepare themselves for the opening of opportunities in corporates to embed analytics in their day-to-day company decision making practice as well as to outline their strategic thoughts. The world is witnessing a huge shortage of people skilled in analytics who can facilitate corporate hubs to make the most of data that is being stored, analysed and generated at a rapid speed.

Scope of Data Analytics in India

Business analytics in India is exploding and there are a lot of opportunities accessible in the market. India is also extremely prominent among the universal souk which provides administration to the companies in business analytics. The market may reach $84.6 Billion by 2021. This will make us one of the countries that have a great scope in data analytics. Since big methods of data are pooling in the corporate, it is constantly critical to take the right steps in terms of defeating the drawbacks in companies. The extent of business analytics in some of the prominent enterprises has been constant and increasing. This expansion procures productive salaries while dealing with the assets, examining the accessible data and recognising designs in the cloaked data to understand the business activities related to the condition of the company.

Eligibility for Training

There is no eligibility criterion as such for Big Data analytics training certification. But training institutes still prefer engineering or MCA students, graduates with programming background, software developers and professionals. Moreover, it becomes easier to learn analytics for someone who has good understanding of Java because the whole module is written in Java. Though, one can code in any language like C, C++; and for Python, it is suggested to code in Java as the analyser will have lower level control of these. One can expect average annual package of Rs 7 to 8 lakh and kick start their career in Big Data analytics profession.

So before aspiring for a career in this field, one needs to understand what's covered under Big Data:

• Analyzing Data: Multiple databases along with file formats are analysed and processed.
• Storage capacity: With the use of Big Data technology one can store as well as distribute tons of data across hundreds of servers operating in parallel. Traditional (RDBMS) database system cannot scale a huge amount of data. With Hadoop, businesses can run numerous applications on thousands of nodes involving thousands of terabytes.
• Secure Data: Big Data technology is also used to secure the data by analysing the data in-depth by accessing the quantitative differences from the type of data extracted.
• Cost Beneficial: Scaling and storing data with the help of traditional database (RDBMS) system would be very expensive as processing a vast capacity of data would lead to much higher costs to the company. Hadoop is designed in a manner that has architecture and computing that enables a company to affordably store all the company data.
• Flexible: Hadoop is so flexible that it accesses new data sources.  A business can also generate value by deriving new data insights from major data sources.
• Management: Security access controls and architecture of data are managed by Big Data technologies security analysis.

From a career point of view, there are many alternatives available, in terms of areas as well as nature of job. Since analytics is utilised on varied grounds, there are numerous job titles for one to choose from. They are as follows:

• Big Data Analytics Business Consultant
• Big Data Analytics Architect
• Big Data Engineer
• Big Data Solution Architect
• Big Data Analyst
• Analytics Associate
• Business Intelligence and Analytics Consultant
• Metrics and Analytics Specialist

The career in Big Data Analytics is comprehensive and one can choose amongst these types of courses in data analytics depending on the Big Data environment:

• Big data developer
• Big data Analyst
• Big data Administrator

About the Author:

Avinash Bharwani, VP, Jetking

Avinash Bharwani is Vice President – New Business, Jetking.