<p>“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark.This has been updated to Spark 3. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think.</p><p>Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb.</p><p></p><p>• Learn the concepts of Spark's Resilient Distributed Datastores</p><p>• Develop and run Spark jobs quickly using Python</p><p>• Translate complex analysis problems into iterative or multi-stage Spark scripts</p><p>• Scale up to larger data sets using Amazon's Elastic MapReduce service</p><p>• Understand how Hadoop YARN distributes Spark across computing clusters </p><p>• Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX</p><p></p><p>By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes.</p><p></p><p>All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Taming-Big-Data-with-Apache-Spark-and-Python---Hands-On-..</p>