Apache Spark For Java Developers

Apache Spark For Java Developers Free

Get processing Huge Information utilizing RDDs, DataFrames, SparkSQL and Machine Studying – and actual time streaming with Kafka!

What you’ll be taught

  • Use practical model Java to outline complicated information processing jobs
  • Study the variations between the RDD and DataFrame APIs
  • Use an SQL model syntax to provide stories towards Huge Information units
  • Use Machine Studying Algorithms with Huge Information and SparkML
  • Join Spark to Apache Kafka to course of Streams of Huge Information
  • See how Structured Streaming can be utilized to construct pipelines with Kafka


  • Java eight is required for the course. Spark doesn’t at the moment assist Java9+, and also you want Java eight for the practical Lambda syntax
  • Earlier data of Java is assumed, however something above the fundamentals is defined
  • Some earlier SQL shall be helpful for a part of the course, however for those who’ve by no means used it earlier than this shall be an excellent first expertise


Get began with the superb Apache Spark parallel computing framework – this course is designed particularly for Java Builders.

In case you’re new to Information Science and need to discover out about how large datasets are processed in parallel, then the Java API for spark is a good way to get began, quick.

All the fundamentals it’s essential to perceive the principle operations you’ll be able to carry out in Spark CoreSparkSQL and DataFrames are lined intimately, with simple to comply with examples. You’ll be capable of comply with together with all the examples, and run them by yourself native growth pc.

Included with the course is a module overlaying SparkML, an thrilling addition to Spark that lets you apply Machine Studying fashions to your Huge Information! No mathematical expertise is critical!

And eventually, there’s a full three hour module overlaying Spark Streaming, the place you’ll get hands-on expertise of integrating Spark with Apache Kafka to deal with real-time large information streams. We use each the DStream and the Structured Streaming APIs.

Optionally, when you’ve got an AWS account, you’ll see deploy your work to a dwell EMR (Elastic Map Cut back) {hardware} cluster. In case you’re not acquainted with AWS you’ll be able to skip this video, nevertheless it’s nonetheless worthwhile to observe somewhat than following together with the coding.

You’ll be going deep into the internals of Spark and also you’ll learn the way it optimizes your execution plans. We’ll be evaluating the efficiency of RDDs vs SparkSQL, and also you’ll be taught concerning the main efficiency pitfalls which may save some huge cash for dwell initiatives.

All through the course, you’ll be getting some nice follow with Java eight Lambdas – a good way to be taught functional-style Java for those who’re new to it.

NOTE: Java eight is required for the course. Spark doesn’t at the moment assist Java9+ (we’ll replace when this adjustments) and Java eight is required for the lambda syntax.

Who this course is for:

  • Anybody who already is aware of Java and want to discover Apache Spark
  • Anybody new to Information Science who need a quick option to get began, with out studying Python, Scala or R!

Created by Richard Chesterwood, Matt Greencroft, Digital Pair Programmers

Size: 11.49 GB



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