Spark in Motion you own this product

Jason Kolter
  • Course duration: 2h 37m
    44 exercises
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See it. Do it. Learn it! Spark in Motion teaches you to use Spark for big data analytics through high-quality video-based lessons and built-in exercises, so you can put what you learn into practice.

Spark in Motion teaches you how to use Spark for batch and streaming data analytics. In nearly 3 hours of hands-on video lessons, you'll get up and running with Spark, starting with the basic architecture of a Spark application. You'll explore data partitioning and accessing common application state, and then you'll deep-dive into using Spark SQL and dataframes for structured analytics. Finally, you'll use Spark Streaming to handle and process real-time data flowing into your application.

This video is one of two products included in the Getting Started with Spark bundle. Get the entire bundle for only $39.99.

about the subject

When you're doing analytics on big data systems, it can be a challenge to efficiently query, stream, filter, and consolidate data sharded across a cluster. Built especially for efficiently operating over large distributed datasets, the Spark data processing engine takes some of the weight off your shoulders. Spark features an easy-to-use interface, near-limitless upgrade potential, and performance that will knock your socks off. Spark simplifies your data infrastructure so you can focus on creating top-notch analytics.

prerequisites

Designed for a software engineer or architect, data scientist, or data analyst interested in getting started with Spark. No prior experience is needed.

what you will learn

  • Exploring the Spark Ecosystem
  • Deploying Spark on a cluster
  • Analytics with SparkSQL
  • Real-time applications with Spark Streaming

about the instructor

Jason Kolter is an instructor for the University of Washington certificate program in Big Data Technologies. Additionally he has worked in a wide range of technology companies, gaining extensive experience leading teams building production large-scale distributed analytics systems.

Quick, no nonsense. What more can you wish?

Jonathan Rioux, Senior Analyst

Best course I have seen so far.

Peter J. Hampton, AI Researcher

Spark is a very valuable library, but it's very hard to use (the learning step is very steep). This video course makes the learning smoother, and takes the users to a place where they can experiment by themselves.

Alberto Boschetti, Data Scientist
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