Spark Graphx In Action

Spark Graphx In Action

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Summaryspark Graphx In Action Starts Out With An Overview Of Apache Spark And The Graphx Graph Processing Api. This Examplebased Tutorial Then Teaches You How To Configure Graphx And How To Use It Interactively. Along The Way, You'Ll Collect Practical Techniques For Enhancing Applications And Applying Machine Learning Algorithms To Graph Data.Purchase Of The Print Book Includes A Free Ebook In Pdf, Kindle, And Epub Formats From Manning Publications.About The Technologygraphx Is A Powerful Graph Processing Api For The Apache Spark Analytics Engine That Lets You Draw Insights From Large Datasets. Graphx Gives You Unprecedented Speed And Capacity For Running Massively Parallel And Machine Learning Algorithms.About The Bookspark Graphx In Action Begins With The Big Picture Of What Graphs Can Be Used For. This Examplebased Tutorial Teaches You How To Use Graphx Interactively. You'Ll Start With A Crystalclear Introduction To Building Big Data Graphs From Regular Data, And Then Explore The Problems And Possibilities Of Implementing Graph Algorithms And Architecting Graph Processing Pipelines. Along The Way, You'Ll Collect Practical Techniques For Enhancing Applications And Applying Machine Learning Algorithms To Graph Data.What'S Insideunderstanding Graph Technology Using The Graphx Api Developing Algorithms For Big Graphs Machine Learning With Graphs Graph Visualizationabout The Readerreaders Should Be Comfortable Writing Code. Experience With Apache Spark And Scala Is Not Required.About The Authorsmichael Malak Has Worked On Spark Applications For Fortune 500 Companies Since Early 2013. Robin East Has Worked As A Consultant To Large Organizations For Over 15 Years And Is A Data Scientist At Worldpay.Table Of Contentspart 1 Spark And Graphs Two Important Technologies: Spark And Graphs Graphx Quick Start Some Fundamentals Part 2 Connecting Vertices Graphx Basics Builtin Algorithms Other Useful Graph Algorithms Machine Learning Part 3 Over The Arc The Missing Algorithms Performance And Monitoring Other Languages And Tools

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Warranty

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Frequently Asked Questions

  • Q: What is the main focus of 'Spark GraphX in Action'? A: 'Spark GraphX in Action' primarily focuses on teaching readers how to effectively use the GraphX API for graph processing in Apache Spark, covering configuration, interactive usage, and practical techniques for working with graph data.
  • Q: Do I need prior experience with Apache Spark to understand this book? A: No, prior experience with Apache Spark and Scala is not required. The book is designed for readers who are comfortable writing code, making it accessible for those new to these technologies.
  • Q: What formats are included with the purchase of the print book? A: Purchasing the print version of 'Spark GraphX in Action' includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
  • Q: Who are the authors of this book? A: The book is authored by Michael Malak, who has experience with Spark applications for Fortune 500 companies, and Robin East, a data scientist at Worldpay with over 15 years of consulting experience.
  • Q: What topics are covered in the book? A: 'Spark GraphX in Action' covers various topics including understanding graph technology, using the GraphX API, developing algorithms for big graphs, machine learning with graphs, and graph visualization.
  • Q: How many pages does 'Spark GraphX in Action' contain? A: The book contains 280 pages, providing a comprehensive guide to using GraphX for graph processing.
  • Q: What is the binding type of this book? A: 'Spark GraphX in Action' is available in paperback binding, making it easy to handle and read.
  • Q: When was 'Spark GraphX in Action' published? A: The book was published on July 3, 2016.
  • Q: What level of programming knowledge is required for this book? A: Readers should be comfortable writing code, but the book does not require advanced programming knowledge or familiarity with specific technologies.
  • Q: What unique features does this book offer for learning GraphX? A: The book offers an example-based tutorial approach, practical techniques for enhancing applications, and insights on implementing machine learning algorithms with graph data, making it a hands-on resource.