Understanding how to manipulate, deploy and leverageApache Spark is quickly becoming essential for data engineers, architects, and data scientists. So, it’s time for you to stay ahead of the crowd by learning Spark with Scala from an industry veteran and nice guy. This course is designed togive you the core principles needed to understand Apache Spark and build yourconfidence through hands-on experiences. In this course, youll be guided through a wide range of core Apache Spark concepts using Scala source code examples;all of which are designed to give you fundamental, working knowledge. Each section carefully builds upon previous sections, so your learning is reinforced along every step of the way. All of the source code is conveniently available for download, so you can run and modify for yourself. Here are just a few of concepts this course will teach you using more than 50 hands-on examples: Learn the fundamentals and run examplesof Spark’s Resilient Distributed Datasets, Actions and Transformations through ScalaRun Spark on yourlocalcluster and alsoAmazon EC2Troubleshooting tricks whendeploying Scala applications to Spark clustersExplore Spark SQL with CSV, JSON and mySQL database(JDBC) data sourcesDiscover Spark Streaming through numerous examples and build a custom application which streams fromSlackHands-on machine learning experimentswith SparkMLlibReinforce your understanding through multiple quizzes and lecture recapCheck out the free preview videos below! As an added bonus, this course will teach you about Scala and the Scala ecosystem such asSBT and SBT plugins to make packaging and deploying to Spark easier and more efficient. As another added bonus, on top of all theextensivecoursecontent, the course offers a private message board so you canask the instructor questions at anytime during your Spark learning journey. This course will make you more knowledgeable about Apache Spark. It offers you the chance to build yourconfidence, productivity and value in your Spark adventures.
