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Every tech-professional working in the industry today knows that change is the only constant. With the exponential rate at which technology updates and changes, it is essential for employees to meet those demands and constantly upgrade their knowledge.

Better said than done, right?

Like it or not, change is what drives the tech industry. It is this change that has enabled technology to have a huge impact on our daily lives. Big Data is one such new-age technology.

Everyone related to the technology world must have heard this buzzword being thrown around. So, what is Big Data? And, more importantly, why should we learn Big Data? 

The Big Rise in Big Data

To understand Big Data, let’s roll back a few years. Back in the days when technology was starting to show its value in driving business growth, data was leveraged by organizations to draw insights into business strategies and structure their long-term planning.

For example, manufacturing companies would assess products sold in different demographic regions and strategize which areas to concentrate their resources on. This helped them understand their customers better and organize their planning effectively.

Things were easier back then as the amount and width of data was small. Deriving insights could be done by using traditional tools like RDBMS and spreadsheets.

However, the major limitation of traditional tools was that they only provided insights on a minor level.

Today, technology growth and digitization has made the volume of data increase to an unprecedented level. With many varied sources producing huge amounts of data, it is necessary to look at other tools to handle, store, maintain, and derive insights from these data. This is the age when Data has turned into Big Data.

Why Big Data?

  • Big data tools unlike traditional data analyzing frameworks can help analyze both structured and unstructured data to derive future insights. This combination of structured and unstructured data is what gave rise to Big Data.
  • Every digital footprint we leave behind while online is a vital piece of information. With the rise in usage of social media and increased dependency on the internet, we have unstructured data in the form of audios, videos, and other such formats that could not be analyzed by traditional tools.  
  • Now, companies can analyze this data by using Big Data tools – draw relevant insights and use them to influence their short-term planning.
  • This was a big step-change. Industry leaders soon realized that Big Data and Data analytics can be a major instrument for them to beat the competition and flourish in the market. This resulted in an astronomical of opportunities rise for Big Data developers and Big Data professionals.

Now, what’s in it for you?

Let’s look at the reasons why Big Data can be the best career move for you:

1. Opportunities and Skill Gap

The sudden rise in the volume of data has resulted in high demand for professionals who can derive insights from this pile of Big Data.

Professionals who know Big Data and its various tools are sought after today. The sudden surge in demand has resulted in a big skill gap that is still existent in the IT industry. And this skill gap is growing.

Learning various Big Data tools can help you ride this new-age wave and make a lasting career in it. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts by 2019.

Here are some more job stats for you to make the best career move:

  • According to Forbes.com, jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.
  • 59% of all Data Science and Analytics (DSA) job demand is in Finance and Insurance, Professional Services, and IT.
  • Annual demand for the fast-growing new roles of data scientists, data developers, and data engineers will reach nearly 700,000 openings by 2020.       

2. Increase in Pay

The increase in pay can be associated with high demand and a low supply of skilled professionals. On average, a Big Data professional’s salary is 50% higher than their other IT counterparts.

This is the case in every domain you go to and all the major geographic areas you assess. Big Data job opportunities are on the rise and will continue to do so. You have a lot of opportunities to make the best career move. 

Varied job roles in the Big Data spectrum have different pay scales. The median pay scale of these profiles as of 2017 is shown below:

Big Data Positions in USA

Big Data Positions in India

Source: Indeed.com

3. Multiple Profiles to Choose From

From a career standpoint, a lot of doors will open for you once you master Big Data and its various tools. Some of the popular tools include Hadoop, Apache Spark, Kafka, Hive, NoSQL, etc.

 As Big Data has applications in varied fields, there are numerous job titles for one to choose from.

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

A quick check on popular job portals reveals that huge array of organizations like Amazon Inc, IBM, Capital One Financial Corp, Microsoft Corporation, Booz, Allen, and Hamilton, Facebook Inc, Deloitte Consulting LLP, General Electronics, Expedia, Pentaho, Centrifuge, FICO, Domo, Quid, Saffron, Jaspersoft, GoodData, Bluefin Labs, Tracx, Panorama Software, and countless more are turning to Big Data to extract actionable insights.

4. Big Data – A Key Factor in Decision Making

If you have ever felt like your contributions were not important enough for your organization and somewhere felt unsatisfied with your offerings, then Big Data is where you need to be.

Companies rely on Big Data and its analysis to chalk out a plan of action. You will have an opportunity to directly contribute to your organization’s growth. Challenging? Yes.  Interesting work to keep you motivated? Y.E.S!

Benefits of Data Analytics

5. Become Future Ready

Learning Big Data will help future-proof your career. Big Data is the future; companies have now started to spend a lot more on hiring truly skilled professionals in Big Data tools. Up-skilling now with Big Data can help future-proof your career.

Data Scientists and Advanced Analysts are the fastest-growing job roles, with demand set to spike 28% by 2020 (IBM report).

IDC also reported that the worldwide Big Data Analytics market is poised to hit $203 billion by 2020. These stats point to one fact that industries seem to trust Big Data and the difference it can bring about.

An added advantage is that you will be working with the latest trends in the tech world. This will help you to stay updated with all the latest tech upgrades. Knowing the market trends will help you to leverage these technologies to make the best career move.


With the advancements made in the field of Big Data, there is a compelling need for skilled people with the ability to understand, manipulate and manage data and think from the business point of view for usable insights.

A professional with these skill sets can master the ocean of Big Data and become a vital asset to an organization, boosting the business and their career.

Start learning Big Data today and make the best career move.

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