Apache Spark is a unified analytics engine for large-scale data processing.
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.
Johnathan Rioux, author of "PySpark in Action", joins the show and gives us a great introduction of Spark and PySpark to help us decide how to get started and decide whether or not to decide if Spark and PySpark are right you.
Special Guest: Jonathan Rioux.
Sponsored By:
- PyCharm Professional: Try PyCharm Pro for 4 months and learn how PyCharm will save you time. Promo Code: TESTNCODE2020
Support Test & Code : Python Testing for Software Engineers
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<p>Apache Spark is a unified analytics engine for large-scale data processing.<br> 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.</p> <p>Johnathan Rioux, author of "PySpark in Action", joins the show and gives us a great introduction of Spark and PySpark to help us decide how to get started and decide whether or not to decide if Spark and PySpark are right you.</p><p>Special Guest: Jonathan Rioux.</p><p>Sponsored By:</p><ul><li><a href="https://ift.tt/2JDHRTz" rel="nofollow">PyCharm Professional</a>: <a href="https://ift.tt/2JDHRTz" rel="nofollow">Try PyCharm Pro for 4 months and learn how PyCharm will save you time.</a> Promo Code: TESTNCODE2020</li></ul><p><a href="https://ift.tt/2tzXV5e" rel="payment">Support Test & Code : Python Testing for Software Engineers</a></p><p>Links:</p><ul><li><a href="https://ift.tt/2VkoND4" title="PySpark in Action" rel="nofollow">PySpark in Action</a></li><li><a href="https://ift.tt/1KcwsUe" title="Spark" rel="nofollow">Spark</a></li><li><a href="https://ift.tt/2dnbMoW" title="PySpark documentation" rel="nofollow">PySpark documentation</a></li><li><a href="https://www.youtube.com/watch?v=o64FV-ez6Gw" title="Joel Grus, livecoding" rel="nofollow">Joel Grus, livecoding</a></li></ul>from Planet Python
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