Introduction to Apache Spark 2.0

by dennyglee Categories: BigData · SparkTags: · · · · · Leave a comment

A Primer on Spark 2.0 Fundamentals and Architecture I’m proud to post that my O’Reilly video series Introduction to Apache Spark 2.0: A Primer on Spark 2.0 Fundamentals and Architecture is now available on O’Reilly Safari (Start your ten-day free trial) or you can purchase the video series directly. This video series highlights what’s new in Apache 2.0 and reviews its core concepts. The course starts with a high-level overview of Spark’s components and then dives into Spark 2.0’s three main themes: simplicity, speed, and intelligence. The simplicity section describes how Spark 2.0 unifies the Spark APIs and Spark session,…

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Jump Start into Python and Apache Spark with Learning PySpark

by dennyglee Categories: SparkTags: · · · · · · 2 Comments

For the last few years, I have had the opportunity to work on some of the coolest Apache Spark committers, contributors, and projects.  As luck would have it, I got the opportunity to meet my co-author Tomasz Drabas (author of the awesome Practical Data Analysis Cookbook) while we were solving some other cool Apache Spark projects.  In the process, we joined forces to share our lessons learned that will hopefully help you jump start your Python and Apache Spark projects with our book: Learning PySpark. And just to make sure, this book was reviewed by the incomparable Holden Karau, author of the…

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On-Time Flight Performance with GraphFrames for Apache Spark

by dennyglee Categories: BigData · d3.js · SparkTags: · · Leave a comment

Feature Image: NASA Goddard Space Flight Center: City Lights of the United States 2012 This is an abridged version of the full blog post On-Time Flight Performance with GraphFrames. You can also reference the webinar GraphFrames: DataFrame-based graphs for Apache Spark and the On-Time Flight Performance with GraphFrames for Apache Spark notebook. An intuitive approach to understanding flight departure delays is to use graph structures. Why Graph? The reason for using graph structures is because it is a more intuitive approach to many classes of data problems: social networks, restaurant recommendations, or flight paths.  It is easier to understand these data problems…

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