SQL is an essential programming language for those who are starting their career in big data or switching from traditional RDBMS. Here’s why that’s the case.

Introduction

The recent advancements in big data systems have led to faster processing, efficient distribution, and data storage in data lakes and data warehouses. This has led to the great migration of analytics in the traditional relational database world to the big data landscape.

The transition wasn’t as hard as expected thanks to the existence of SQL as a query language in big data systems that are highly distributed and scalable.

On the other hand, there are also engineers and analysts stepping directly into the big data world. The general language is high-level and is an essential skill for everyone treading through the landscape.

This article will help you understand why SQL is an essential programming language for those who are starting their career in big data or switching from traditional RDBMS. We will also review the widely used SQL-On-Hadoop engines where SQL can be effectively used for data transformation and exploration.

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