Apache Spark 3 Advance Skills for Cracking Job Interviews: Learn PySpark Advanced Skills and Prepare for Certification along with Job Interviews

ScholarNest

₹6703.99

Video Feb 2022 3hrs 47mins 1st Edition

ScholarNest

₹6703.99

Video Feb 2022 3hrs 47mins 1st Edition

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Key benefits

Practice common job interview questions and answers
Deep dive into Spark 3 architecture and memory management
Prepare for Databricks Spark certification in a structured way

Description

Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities. This course covers some advanced topics and concepts such as Spark 3 architecture and memory management, AQE, DPP, broadcast, accumulators, and multithreading in Spark 3 along with common job interview questions and answers. The objective of this course is to prepare you for advanced certification topics. By the end of this course, you will have learned some advanced topics and concepts that are asked for in the Databricks Spark Certification or Spark job interviews. This will not only help you develop advanced skills in Apache Spark but also crack your job interviews.

Who is this book for?

This course is for anyone who wants to learn and develop advanced skills in Apache Spark or those who are preparing for job interviews and want to learn advanced skills. Before proceeding with the course, you will need basic knowledge of Spark programming in Python – PySpark.