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Apache Sqoop Cookbook - Kathleen Ting
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Kathleen Ting:

Apache Sqoop Cookbook - new book

ISBN: 9781449364588

ID: 9781449364588

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 cookbooks problem-solution-discussion format, youll 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 ecosystemKeep table data and Hadoop in sync by importing data incrementallyImport data from more than one database tableCustomize transferred data by calling various database functionsExport generated, processed, or backed-up data from Hadoop to your databaseRun Sqoop within Oozie, Hadoops specialized workflow schedulerLoad data into Hadoops data warehouse (Hive) or database (HBase)Handle installation, connection, and syntax issues common to specific database vendors 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 databases and Hadoop.Sqoop is both powerful and bewildering, but with this cookbooks problem-solution-discussion format, youll 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 ecosystemKeep table data and Hadoop in sync by importing data incrementallyImport data from more than one database tableCustomize transferred data by calling various database functionsExport generated, processed, or backed-up data from Hadoop to your databaseRun Sqoop within Oozie, Hadoops specialized workflow schedulerLoad data into Hadoops data warehouse (Hive) or database (HBase)Handle installation, connection, and syntax issues common to specific database vendors, O'reilly Media

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Apache Sqoop Cookbook - Jarek Jarcec Cecho, Kathleen Ting
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Jarek Jarcec Cecho, Kathleen Ting:

Apache Sqoop Cookbook - new book

7, ISBN: 9781449364588

ID: 101569781449364588

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. 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 ecosystemKeep table data and Hadoop in sync by importing data incrementallyImport data from more than one database tableCustomize transferred data by calling various database functionsExport generated, processed, or backed-up data from Hadoop to your databaseRun Sqoop within Oozie, Hadoop's specialized workflow schedulerLoad data into Hadoop's data warehouse (Hive) or database (HBase)Handle installation, connection, and syntax issues common to specific database vendors Database Management, , Apache Sqoop Cookbook~~ Jarek Jarcec Cecho, Kathleen Ting~~Database Management~~Database Management~~9781449364588, en, Apache Sqoop Cookbook, Jarek Jarcec Cecho, Kathleen Ting, 9781449364588, O'Reilly Media, 07/02/2013, , , , O'Reilly Media, 07/02/2013

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Apache Sqoop Cookbook - Kathleen Ting#Jarek Jarcec Cecho
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Kathleen Ting#Jarek Jarcec Cecho:
Apache Sqoop Cookbook - new book

ISBN: 9781449364588

ID: 125980660

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 cookbooks problem-solution-discussion format, youll 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 ecosystemKeep table data and Hadoop in sync by importing data incrementallyImport data from more than one database tableCustomize transferred data by calling various database functionsExport generated, processed, or backed-up data from Hadoop to your databaseRun Sqoop within Oozie, Hadoops specialized workflow schedulerLoad data into Hadoops data warehouse (Hive) or database (HBase)Handle installation, connection, and syntax issues common to specific database vendors Apache Sqoop Cookbook eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, O´Reilly Media, Inc, USA

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Apache Sqoop Cookbook - Kathleen Ting#Jarek Jarcec Cecho
book is out-of-stock
(*)
Kathleen Ting#Jarek Jarcec Cecho:
Apache Sqoop Cookbook - new book

ISBN: 9781449364588

ID: 125980660

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 cookbooks problem-solution-discussion format, youll 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 ecosystemKeep table data and Hadoop in sync by importing data incrementallyImport data from more than one database tableCustomize transferred data by calling various database functionsExport generated, processed, or backed-up data from Hadoop to your databaseRun Sqoop within Oozie, Hadoops specialized workflow schedulerLoad data into Hadoops data warehouse (Hive) or database (HBase)Handle installation, connection, and syntax issues common to specific database vendors Apache Sqoop Cookbook eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, O´Reilly Media

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Apache Sqoop Cookbook - Kathleen Ting
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Kathleen Ting:
Apache Sqoop Cookbook - new book

ISBN: 9781449364588

ID: 9781449364588

Apache Sqoop Cookbook Apache-Sqoop-Cookbook~~Kathleen-Ting Other Database Tools>Other Database Tools NOOK Book (eBook), O'Reilly Media, Incorporated

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Details of the book
Apache Sqoop Cookbook
Author:

Ting, Kathleen;Cecho, Jarek Jarcec

Title:

Apache Sqoop Cookbook

ISBN:

9781449364588

Details of the book - Apache Sqoop Cookbook


EAN (ISBN-13): 9781449364588
Publishing year: 2013
Publisher: O'Reilly Media, Incorporated

Book in our database since 22.09.2008 16:17:45
Book found last time on 27.09.2016 02:12:06
ISBN/EAN: 9781449364588

ISBN - alternate spelling:
978-1-4493-6458-8

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