Spark Analytics for Real-Time Data Processing

Course details

This tutorial is focused on analytics and real-time data processing using Apache Spark. You will begin with Spark SQL, using the Spark SQL API and built-in functions; within Apache Spark, you will go through some interactive analysis and look at some integrations between Spark and Java/Scala/Python.

You will explore Spark Streaming, streaming context, and DStreams. You will learn how Spark streaming works on top of the Spark core, thus inheriting its features. You will stream data and also learn best practices for managing high-velocity streaming and external data sources.
By the end of this course, you will be able to load data from a variety of structured sources (for example, JSON, Hive, and Parquet) using Spark SQL and schema RDDs and will perform real-time data processing.

About The Author :

Tomasz Lelek is a Software Engineer and Co-Founder of InitLearn. He mostly does programming in Java and Scala. He dedicates his time and effort to get better at everything. He is currently diving into Big Data technologies. Tomasz is very passionate about everything associated with software development.

He has been a speaker at a few conferences in Poland-Confitura and JDD, and at the Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference. He was also a speaker at an international event in Dhaka. He is very enthusiastic and loves to share his knowledge.