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Practical Hive
A Guide to Hadoop's Data Warehouse System
Langbeschreibung
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software.
Inhaltsverzeichnis
Chapter 1: Setting the Stage for Hive: Hadoop.- Chapter 2: Introducing Hive.- Chapter 3: Hive Architecture.- Chapter 4: Hive Tables DDL.- Chapter 5: Data Manipulation Language (DML).- Chapter 6: Loading Data into Hive.- Chapter 7: Querying Semi-Structured Data.- Chapter 8: Hive Analytics.- Chapter 9: Performance Tuning: Hive.- Chapter 10: Hive Security.- Chapter 11: Future of Hive.- Chapter 12: Appendix A. Building a Big Data Team.- Chapter 13: Appendix B. Hive Functions.
Scott Shaw has over fifteen years of data management experience. He has worked as both an Oracle and SQL Server DBA. He has worked as a consultant on Microsoft business intelligence projects utilizing both Tabular and OLAP models and co-authored two T-SQL books by Apress. Scott also enjoys speaking across the country about distributed computing, Big Data concepts, business intelligence, Hive, and the value of Hadoop. Scott works as a Sr. Solutions Engineer for Hortonworks and lives in Saint Louis with his wife and two kids.
ISBN-13:
9781484202715
Veröffentl:
2016
Seiten:
265
Autor:
Scott Shaw
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
62,99 €*
Lieferzeit: Sofort lieferbar
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