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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Shaw, Scott (Autor), Vermeulen, Andreas François (Autor), Gupta, Ankur (Autor), Kjerrumgaard, David (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress : Imprint: Apress, 2016.
Edición:1st ed. 2016.
Temas:
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.
Acceso en línea:Texto Completo
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.

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