SAMPLE
Kathleen Ting,Jarek Jarcec Cecho:Apache Sqoop Cookbook (Unlocking Hadoop for Your Relational Database)
- Paperback 2013, ISBN: 9789351103103
Shroff Publishers & Distributors Pvt. Ltd., 2013. Softcover. New. Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-co… More...
Shroff Publishers & Distributors Pvt. Ltd., 2013. Softcover. New. 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 Printed Pages: 116., Shroff Publishers & Distributors Pvt. Ltd., 2013<
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
SAMPLE
Kathleen Ting,Jarek Jarcec Cecho:Apache Sqoop Cookbook (Unlocking Hadoop for Your Relational Database)
- Paperback 2013, ISBN: 9789351103103
Shroff Publishers & Distributors Pvt. Ltd., 2013. Softcover. New. Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-co… More...
Shroff Publishers & Distributors Pvt. Ltd., 2013. Softcover. New. 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 Printed Pages: 116., Shroff Publishers & Distributors Pvt. Ltd., 2013<
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
SAMPLE
Kathleen Ting,Jarek Jarcec Cecho:Apache Sqoop Cookbook (Unlocking Hadoop for Your Relational Database)
- Paperback 2013, ISBN: 9351103102
[EAN: 9789351103103], Neubuch, [PU: Shroff Publishers & Distributors Pvt. Ltd.], NA, Integrating data from multiple sources is essential in the age of big data, but it can be a challengin… More...
[EAN: 9789351103103], Neubuch, [PU: Shroff Publishers & Distributors Pvt. Ltd.], NA, 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 Printed Pages: 116.<
| | AbeBooks.deA - Z Books, New Delhi, DELHI, India [61818224] [Rating: 4 (von 5)] NEW BOOK Shipping costs: EUR 3560.94 Details... |
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
SAMPLE
Kathleen Ting,Jarek Jarcec Cecho:Apache Sqoop Cookbook (Unlocking Hadoop for Your Relational Database)
- Paperback 2013, ISBN: 9351103102
[EAN: 9789351103103], Neubuch, [PU: Shroff Publishers & Distributors Pvt. Ltd.], NA, Integrating data from multiple sources is essential in the age of big data, but it can be a challengin… More...
[EAN: 9789351103103], Neubuch, [PU: Shroff Publishers & Distributors Pvt. Ltd.], NA, 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 Printed Pages: 116.<
| | AbeBooks.deBookVistas, New Delhi, DELHI, India [54483961] [Rating: 4 (von 5)] NEW BOOK Shipping costs: EUR 2848.75 Details... |
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
SAMPLE
| | Biblio.comD.K. Printworld (P) Ltd. Shipping costs: EUR 13.95 Details... |
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
