Practical Hive A Guide to Hadoop's Data Warehouse System /

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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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Shaw, Scott (Author), Vermeulen, Andreas François (Author), Gupta, Ankur (Author), Kjerrumgaard, David (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berkeley, CA : Apress : Imprint: Apress, 2016.
Edition:1st ed. 2016.
Subjects:
Big data.
Computer science.
Information retrieval.
Computer architecture.
Data protection.
Artificial intelligence-Data processing.
Database management.
Big Data.
Computer Science.
Data Storage Representation.
Data and Information Security.
Data Science.
Database Management.
Online Access:Texto Completo
Table of Contents:
  • 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.

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