<div> <p style="font-weight: bold">Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools</p> <p>Spark is at the heart of todayβs Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks.
Data Analytics with Spark Using Python
β Scribed by Jeffrey Aven
- Publisher
- Addison-Wesley Professional
- Year
- 2018
- Tongue
- English
- Leaves
- 819
- Edition
- Paperback
- Category
- Library
No coin nor oath required. For personal study only.
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<p><em>Big Data Analytics with Spark</em> is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, inter
This book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX,
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