Data Engineering

Python being a general-purpose language, it can be used to build almost any type of application with the right tools/libraries. Additionally, python supports objects, modules, threads, exception-handling, and automatic memory management which help in modelling real-world problems and building applications to solve these problems.

These days, almost every industry makes use of big data to evaluate where they stand and grow. When you hear the term big data, Apache Spark comes to mind.

Following are the industry benefits of using PySpark that supports Spark:

• Media Streaming

• Finance

• Healthcare

• Travel Industry

• Retail and e-commerce

If you are wondering what Spark is and what all the functional aspects are this crash course will explain it. Apache Spark is the fastest-growing cluster computational platform that was designed to process big data in a faster manner along with the compatibility to previously existing big data tools and support to various libraries. These integrations help to build seamlessly fast and powerful applications with the power of different computational models. Due to these reasons, Spark has become a hot and lucrative technology, and knowing Spark will open doors to new, better, and challenging career opportunities for Software Developers and Data Engineers.