By Edward Capriolo,Dean Wampler,Jason Rutherglen
Need to maneuver a relational database software to Hadoop? This complete consultant introduces you to Apache Hive, Hadoop’s information warehouse infrastructure. You’ll quick the right way to use Hive’s SQL dialect—HiveQL—to summarize, question, and research huge datasets kept in Hadoop’s dispensed filesystem.
This example-driven consultant indicates you the way to establish and configure Hive on your setting, presents an in depth assessment of Hadoop and MapReduce, and demonstrates how Hive works in the Hadoop atmosphere. You’ll additionally locate real-world case experiences that describe how businesses have used Hive to unravel distinctive difficulties related to petabytes of data.
- Use Hive to create, adjust, and drop databases, tables, perspectives, capabilities, and indexes
- Customize facts codecs and garage recommendations, from documents to exterior databases
- Load and extract facts from tables—and use queries, grouping, filtering, becoming a member of, and different traditional question methods
- Gain top practices for growing consumer outlined services (UDFs)
- Learn Hive styles you can use and anti-patterns you need to avoid
- Integrate Hive with different information processing programs
- Use garage handlers for NoSQL databases and different datastores
- Learn the professionals and cons of operating Hive on Amazon’s Elastic MapReduce
Read Online or Download Programming Hive: Data Warehouse and Query Language for Hadoop PDF
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Extra resources for Programming Hive: Data Warehouse and Query Language for Hadoop
Programming Hive: Data Warehouse and Query Language for Hadoop by Edward Capriolo,Dean Wampler,Jason Rutherglen