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Data Analysis with Python and PySpark

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Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Hadoop-based clusters to Excel worksheets. You’ll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. By the time you’re done, you’ll be able to write and run incredibly fast PySpark programs that are scalable, efficient to operate, and easy to debug.

Learn more about the book here: http://mng.bz/ggeZ

Veröffentlicht in: Software
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Data Analysis with Python and PySpark

  1. 1. Flexible and Scalable Data Analysis with Data Analysis with Python and PySpark. Take 42% off the book by entering slrioux into the discount code box at checkout at manning.com.
  2. 2. Python data analysis at scale When it comes to data analytics, it pays to think big. PySpark blends the powerful Spark big data processing engine with the Python programming language to provide a data analysis platform that can scale up for nearly any task.
  3. 3. Learn how to use it! Data Analysis with Python and PySpark is your guide to delivering successful Python- driven data projects. In it, you’ll learn to build lightning-fast pipelines for reporting, machine learning, and other data-centric tasks. No previous knowledge of Spark is required. Lists and PySpark
  4. 4. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. By the time you’re done, you’ll be able to write and run incredibly fast PySpark programs that are scalable, efficient to operate, and easy to debug. Now Hiring
  5. 5. What people are saying about the book: Takes you on an example focused tour ofbuilding pyspark data structures from the data you provide and processing them at speed. -Alex Lucas A phenomenal introduction to PySpark from the ground up. -Anonymous Reviewer A good book to get you started with PySpark. -Jeremy Loscheider
  6. 6. About the author: As a data scientist for an engineering consultancy, Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts. Datasets and data frames
  7. 7. Take 42% off Data Analysis with Python and PySpark by entering slrioux into the discount code box at checkout at manning.com. You can also take a preview of its contents on our browser-based liveBook reader here.

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