learn apache kafka （高清英文版）下载

weixin_39821260 2019-10-02 08:30:15

高清带书签，新版，原版书籍。大数据时代，无论编程语言开发，还是大数据，都需要学习。
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高清带书签，新版，原版书籍。大数据时代，无论编程语言开发，还是大数据，都需要学习。

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 for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard Who This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

Apache Kafka是被广泛使用的分布式、易扩展、高效的事件流平台，但管理部署复杂，需高度熟练的专业知识。在Kafka的基础上进一步增强了产品的稳定性、易用性及管控能力，更适合企业客户使用。我们邀请到IBM云计算高级...

kafka协议格式解析及基本搭建

Kafka 是一款非常优秀的开源消息引擎，以消息吞吐量高、可动态扩容、可持久化存储、高可用的特性，以及完善的文档和社区支持成为目前最流行的消息队列中间件。Kafka 的开发社区一直非常活跃，在消息引擎的领域取的不俗成绩之后，不断拓展自己的领域，在基于事件的流处理平台方向一直发力，不断自我更新迭代力图成为这个领域内的事实标准。

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