Key Features of ETL Tools

The Extract, Transform, Load (ETL) contain vendors that provide tools used in planning and populating analytic databases sources such as data warehouses, data marts, and operational data stores. These ETL tools offer for the extraction, transformation, and integration of data from any number of various database sources into time-variant databases used mostly for query and reporting. ETL tools give programmers a platform for designing source-to-target mappings, transformation and process flows.

Some key features of ETL Tools that they should have:

• Data integration functionality, which is perfectly suited for Extract Transform and Load (ETL) type of data warehousing solutions for business intelligence, reporting and dashboards

• Process flow based and service oriented approach to data transformation and integration

• Easy to use, intuitive graphical interface to define data mapping and data transformation rules

• Includes both graphical design environment and fully featured run-time engine in one package

• Well suited for data aggregation required to populate data warehouses from various data sources

• Web-based, intuitive interface allows for increased productivity with minimal training

• Object-based architecture promotes reusable components and functionality across disparate custom, packaged and legacy applications

• Complete management, reporting and auditing capabilities to track and monitor transactions

• Fully standards-based solution, using XML and J2EE

Various Vendors in the ETL market provide built-in intelligence attribute that fasten the mapping of database sources, tuning of jobs, or handling of abnormality during runtime. Others offer enormous libraries of built-in transformations, enterprise information integration-style data integration, or conjoined BI capabilities. The DBMS-bred challengers, however, are closing the functional gap at price points that cannot be overlooked.
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