{"id":11097,"date":"2023-12-05T18:18:41","date_gmt":"2023-12-05T18:18:41","guid":{"rendered":"https:\/\/lacountystore.com\/\/?p=11097"},"modified":"2023-12-05T18:18:41","modified_gmt":"2023-12-05T18:18:41","slug":"best-book-for-apache-spark","status":"publish","type":"post","link":"https:\/\/lacountystore.com\/best-book-for-apache-spark\/","title":{"rendered":"20 Best Book For Apache Spark (2023 Update)"},"content":{"rendered":"

Are you looking for the Best Book For Apache Spark<\/strong>? If so, you’ve come to the right place.<\/p>\n

Choosing the Best Book For Apache Spark can be difficult as there are so many considerations, such as American Girl, Dunod, LEGO, Lisa Leonard Designs, Penguin Random House, Sounds True, WHSmith, Amazon.com. We have done a lot of research to find the Top 20 Best Book For Apache Spark<\/strong> available.<\/p>\n

The average cost is $33.56<\/i>. Sold comparable range in price from a low of $10.03<\/i> to a high of $59.99<\/i>.<\/p>\n

Based on the research we did, we think Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library [Book]<\/strong><\/a> is the best overall. Read on for the rest of the great options and our buying guide, where you can find all the information you need to know before making an informed purchase.<\/p>\n

20 Best Book For Apache Spark (20 Sellers)<\/h2>\n
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Product Image<\/span><\/th>\nProduct Name<\/span><\/th>\nFeatures<\/span><\/th>\nCheck Price<\/span><\/th>\n<\/tr>\n<\/thead>\n
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    • After reading this book, you will have the knowledge required to build your own big data pipelines, applications, and machine learning applications.<\/li>\n
    • What you will learn.<\/li>\n
    • Who this book is for.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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  • \n
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    • Binding type: paperback<\/li>\n
    • Year published: 2016-11-07<\/li>\n
    • Number of pages: 592<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2020-06-02<\/li>\n
    • Number of pages: 576<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • How spark sqls new interfaces improve performance over sqls rdd data structure<\/li>\n
    • The choice between data joins in core spark and spark sql<\/li>\n
    • Techniques for getting the most out of standard rdd transformations<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Attain greater self-awareness and orient toward your highest potential through a process of engaged, incisive questioning<\/li>\n
    • Binding type: hardback<\/li>\n
    • Year published: 2020-09-08<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Product – book<\/li>\n
    • The text is easily understandable<\/li>\n
    • Comes in a good packaging<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Publisher: simon pulse<\/li>\n
    • Publisher date: 12\/09\/2017<\/li>\n
    • Category<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Encourages reading skills, imagination, decision making<\/li>\n
    • Intense adventures with over 100 possible endings<\/li>\n
    • Each book features 38 black and white illustrations, 144 pages<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2010-06-10<\/li>\n
    • Number of pages: 374<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: turner publishing company<\/li>\n
    • Year published: 19960801<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Quickly dive into spark capabilities such as distributed datasets, in-memory caching, and the interactive shell<\/li>\n
    • Use one programming paradigm instead of mixing and matching tools like hive, hadoop, mahout, and storm<\/li>\n
    • Learn how to deploy interactive, batch, and streaming applications<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Number of pages: 480<\/li>\n
    • Genre: computers + internet<\/li>\n
    • Sub-genre: data modeling &amp; design<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Get a gentle overview of big data and spark<\/li>\n
    • Learn about dataframes, sql, and datasets\u2014spark\u2019s core apis\u2014through worked examples<\/li>\n
    • Dive into spark\u2019s low-level apis, rdds, and execution of sql and dataframes<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding : paperback<\/li>\n
    • Pages : 196<\/li>\n
    • Publisher : zephyros press<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Discover the value of big data analytics that leverage the power of the cloud<\/li>\n
    • Get started with databricks using sql and python in either microsoft azure or aws<\/li>\n
    • Understand the underlying technology, and how the cloud and apache spark fit into the bigger picture<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Understand spark unified data processing platform<\/li>\n
    • How to run spark in spark shell or databricks<\/li>\n
    • Use and manipulate rdds<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • An advanced guide with a combination of instructions and practical examples to extend the most up-to date spark functionalities.<\/li>\n
    • Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in spark.<\/li>\n
    • Master the art of real-time processing with the help of apache spark 2.x.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Discover the functional programming features of scala<\/li>\n
    • Understand the complete architecture of spark and its components<\/li>\n
    • Integrate apache spark with hive and kafka<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: packt publishing limited<\/li>\n
    • Year published: 2018-07-13<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2019-01-31<\/li>\n
    • Number of pages: 322<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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