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
2021-04-01 23:50:42
20.1MB
1
智慧学成2021升级版学习资料微服务项目，Java核心和大数据Spark结合，
附上实战资料，供学习交流！
2021-03-17 18:05:42
436B
1
该资源包含了《大数据之路-阿里巴巴大数据》这本书的整体思维导图，并且按照自己从业经验进行归纳整理，囊括了：数据采集，数据计算，数据模型，数据管理，数据生命周期的相关知识点
2021-01-28 04:24:59
420KB
1