| 書目名稱 | Next-Generation Big Data | | 副標(biāo)題 | A Practical Guide to | | 編輯 | Butch Quinto | | 視頻video | http://file.papertrans.cn/667/666258/666258.mp4 | | 概述 | Details how to integrate popular third-party applications and platforms such as StreamSets, ZoomData, Talend, Pentaho, Cask, Oracle, and SQL Server with next-generation big data technologies such as K | | 圖書封面 |  | | 描述 | .Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.. .Next-Generation Big Data.?takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard...What You’ll Learn..Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice.Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark.Use StreamSets, Talend, Pentaho, and CDAP fo | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Apache Kudu; Kudu; Apache Spark; Spark; Apache Impala; Impala; Big Data; Hadoop; Apache; Cloud; Cloud computin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3147-0 | | isbn_softcover | 978-1-4842-3146-3 | | isbn_ebook | 978-1-4842-3147-0 | | copyright | Butch Quinto 2018 |
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