Apache Sqoop cookbook /

Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ting, Kathleen
Otros Autores: Cecho, Jarek Jarcec
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, 2013.
Temas:
Apache (Computer file : Apache Group)
Relational databases.
Data warehousing.
Database design.
Database management.
Web site development.
Bases de données relationnelles.
Entrepôts de données (Informatique)
Bases de données > Conception.
Bases de données > Gestion.
Sites Web > Développement.
COOKING > Courses & Dishes > General.
COOKING > Essays.
COOKING > Methods > General.
COOKING > Reference.
Data warehousing
Database design
Database management
Relational databases
Web site development
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop. Sqoop is both powerful and bewildering, but with this cookbook's problem-solution-discussion format, you'll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems. Transfer data from a single database table into your Hadoop ecosystem Keep table data and Hadoop in sync by importing data incrementally Import data from more than one database table Customize transferred data by calling various database functions Export generated, processed, or backed-up data from Hadoop to your database Run Sqoop within Oozie, Hadoop's specialized workflow scheduler Load data into Hadoop's data warehouse (Hive) or database (HBase) Handle installation, connection, and syntax issues common to specific database vendors.
Descripción Física:1 online resource (1 volume)
ISBN:9781449364588
1449364586
1449364624
9781449364625
9781449364618
1449364616
9781449364601
1449364608

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