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The ultimate resource on building and deploying data integration solutions with Kettle
Kettle is a scaleable and extensible open source ETL and data integration tool that lets you extract data from databases, flat and XML files, web services, ERP systems, and OLAP cubes. It provides over 120 built-in transformation steps to validate, cleanse, and conform data, as well as numerous options to load data into data warehouses and many other targets. Kettle is a comprehensive, low-cost alternative to traditional data integration tools like Informatica PowerCenter, IBM InfoSphere DataStage, and BusinessObjects Data Integrator.
This book explains in detail how to use Kettle to create, test, and deploy your own ETL and data integration solutions. You'll learn to use Kettle's programs to create transformations and jobs, use version control, audit data, and schedule your ETL solution. Then you'll progress to more advanced concepts such as clustering and cloud computing, real-time data integration, loading a Data Vault model, and extending Kettle by building your own plugins. In addition, you'll find hands-on examples and case studies that show exactly how to put Kettle's features into practice.
Explore the components of the Kettle ETL toolset
Discover how to install and configure Kettle and connect it to various data sources and targets
Design and build every aspect of an ETL solution using Kettle
Learn how to load a data warehouse with Kettle
Understand the steps for deploying and scheduling ETL solutions
Gain the skills to integrate Kettle with third-party products
Learn to extend Kettle and build your own plugins
Use clustering and cloud computing to scale and improve the performance of your Kettle ETL solutions
Find out how to use Kettle for real-time data integration
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