Practical Hive A Guide to Hadoop's Data Warehouse System

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 an...

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Detalles Bibliográficos
Autores principales:	Shaw, Scott. author (author), Vermeulen, Andreas François. author, Gupta, Ankur. author, Kjerrumgaard, David. author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2016.
Edición:	1st ed. 2016.
Materias:	Apache Hadoop. Big data. Computer science. Data structures (Computer science). Computer security. Database management. Big Data. Computer Science, general. Data Storage Representation. Systems and Data Security. Data Structures. Database Management.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630241506719

Tabla de Contenidos:

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.

Practical Hive A Guide to Hadoop's Data Warehouse System

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