Spark Analytics for Real-Time Data Processing [Video]
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.Style and Approach
Filled with examples, this course will help viewers perform real-time data analysis and help them get started with analytics. Viewers will learn to build streaming applications and handle high-velocity streaming.
|Course Length||1 hour 38 minutes|
|Date Of Publication||27 Jun 2018|
|Spark Streaming – Quick Example|
|Spark Streaming – Architecture|
|Spark Streaming – Transformations|
|Spark Streaming – Input Sources|
|Spark Streaming – Performance Considerations|