Before understanding how to become a Big Data Engineer, let’s quickly understand the term ‘Big Data’ first.

This article elaborates the Big Data Engineer into further necessary information as it is originated from source and adapted from

Back in the early 2000s, data generation was limited. But with the advent of various social media platforms and multinational companies across the globe, the generation of data has increased by leaps and bounds. According to the IDC, the total volume of global data is expected to reach 175 zettabytes in 2025. That’s indeed a great deal of data.

Below are a couple of statistics from Datafloq and Statista about Big Data and what the future has in store:


Not only is the volume of data increasing, but its velocity is also hitting an all-time high. Having said that, Big Data also refers to data in various formats.

Below are the different types of Big Data:


All this data is termed as Big Data. Big Data refers to massive amounts of data that cannot be stored, processed, and analyzed using traditional old school methods. The quantity is simply too large.

To overcome this challenge of Big Data, various frameworks like HadoopSpark, Cassandra, and Apache Storm are used.


Big Data Engineers work towards handling all of this Big Data with the help of these frameworks. Now, with that let’s move on and learn more about this job role and understand how to become a Big Data Engineer.