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Product Details »ù±¾ÐÅÏ¢ ISBN-13 ÊéºÅ 9781491944240 Author ×÷Õß Maas Gerard Format °æ±¾ ƽװ-½º¶© Pages Number Ò³Êý 452Ò³ Publisher ³ö°æÉç O¡¯Reilly Media Publication Date ³ö°æÈÕÆÚ 2018-07-25 Product Dimensions ÉÌÆ·³ß´ç 9.1 x 7 x 0.9 cm Shipping Weight ÉÌÆ·ÖØÁ¿ 1570g Language ÓïÖÖ Ó¢Óï Book Contents ÄÚÈݼò½é If you¡¯re familiar with Apache Spark and want to learn how to implement it for streaming jobs, this practical book is a must.
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Product Details »ù±¾ÐÅÏ¢ ISBN-13 ÊéºÅ 9781484293799 Author ×÷Õß Alfonso Antol¨ªnez Garc¨ªa Format °æ±¾ ƽװ-½º¶© Pages Number Ò³Êý 370Ò³ Publisher ³ö°æÉç Apress Publication Date ³ö°æÈÕÆÚ 2023-06-08 Language ÓïÖÖ ÆäËü£¨º¬¶àÓ Book Contents ÄÚÈݼò½é This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark¡¯s structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows. This book covers Spark 3¡¯s new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion
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