Big Data

Spark Development with Python

Python Training with Apache Spark is a general purpose engine for large-scale data processing. It supports rapid application development for big data and allows for code resume across batch, interactive and streaming applications. The most popular use cases for Apache Spark include building data pipeline and developing machine learning models.

Python comes with a number of modules for interacting with the operating system, searching text with regular expressions, accessing the Internet, and just about anything else you could think of. Since it’s a dynamic, interpreted language, you don’t have to declare variables or deal with memory management bugs or this reason, Python appeals to experienced programmers as well as beginners. Google uses it extensively.



  • Fresher
  • Data Engineer
  • Software developers
  • ETL developers

Course Content:

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