Pentaho Kettle,
Pentaho ETL tool for data integration for a complete guide
Pentaho Kettle
This book is practical to manage the configuration and installation, a complete
guide. If you are an administrator or database developer Aore, Aoll first
class, and how the foundations of clustering aibefore Kettle, such as
scalability, and vault data models Kettle ETL to create customized solutions to
these concepts get up later. Learn to design and build an ETL solution at each
stage.
- Developers and database administrators (Extract Transform and Load data) for business process-level open source Pentaho Kettle ETL shows how to use
- Kettle ETL assumes in advance or beginners to accelerate information and brings deep into your own pace
- Solutions to get up and running Kettle explains, the kettle, including all aspects of the data warehouse, ETL, such as exploration of the life cycle of ETL-34 model created by Kimball Group titles
- Distributed, Aucloud, Kettle solutions using DU to explore ways to expand and develop beyond routine tasks
- This detailed guide, a complex multisystem data integration cluster, the data migration tasks with just one table Aifrom Pentaho Kettle and take most of the data storage.
From Back Cover
Kettle data
integration solutions with the ultimate resource for the creation and
deployment
Kettle open
source ETL and integration of data in a scalable and extensible tool allows you
to extract data from these databases, flat files and XML, web services, ERP
systems, OLAP and cubes. This gives a clean and validate data, and many other
targets many options to load data into data warehouses appropriate, and 120
steps of conversion Kettle Informatics Power Center, IBM Info Sphere DataStage
and traditional tools for integrating data such as BusinessObjects Data
Integrator for a comprehensive, cost-effective alternative.
This book has
its own ETL and data integration solutions, testing, explains in detail how to
create and deploy Kettle. Transformations you create a version control Kettle
and employment, to use the audit data, and plan programs to learn to use the
ETL solution. Then more advanced concepts such as cloud computing, and
consolidation will be progress, real-time data integration, and installation of
a data model Vault by creating its own plug-ins can s' extend Kettle. In
addition, examples and case studies how characteristics Kettle practice will
find this show very hands.
Explore
components Kettle ETL tool
- Kettle to install and configure, and how to connect to different data sources and targets Explorer
- Design and construct all aspects of an ETL solution using Kettle
- Learn how to load a data warehouse with Kettle
- Understand the steps to deploy the ETL and scheduling solutions
- The skills integrated with third-party products in Kettle
- Learn how to develop and strengthen their own plug-ins Kettle
- Kettle ETL solutions to improve your performance, scaling and clustering, and the use of cloud computing
- Learn to use Kettle for real-time integration of data
About the Author
Kettle and
Founder Matt Casters Chief Data Integration Pentaho, I led the software
development works in Kettle. Roland Bouman developer of open source technology
web, database and business application oriented intelligence. Jos van Dongen is
independent consultant intelligence and the famous author, speaker and analyst.
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