Key Features of ETL Tools

The Extract, Transform, Load (ETL) contain vendorspopulate data warehouses from various data sources
that provide tools used in planning and populating• Web-based, intuitive interface allows for
analytic databases sources such as data warehouses,increased productivity with minimal training
data marts, and operational data stores. These ETL• Object-based architecture promotes reusable
tools offer for the extraction, transformation, andcomponents and functionality across disparate
integration of data from any number of variouscustom, packaged and legacy applications
database sources into time-variant databases used• Complete management, reporting and auditing
mostly for query and reporting. ETL tools givecapabilities to track and monitor transactions
programmers a platform for designing• Fully standards-based solution, using XML and
source-to-target mappings, transformation andJ2EE
process flows.Various Vendors in the ETL market provide built-in
Some key features of ETL Tools that they shouldintelligence attribute that fasten the mapping of
have:database sources, tuning of jobs, or handling of
• Data integration functionality, which is perfectlyabnormality during runtime. Others offer enormous
suited for Extract Transform and Load (ETL) type oflibraries of built-in transformations, enterprise
data warehousing solutions for business intelligence,information integration-style data integration, or
reporting and dashboardsconjoined BI capabilities. The DBMS-bred challengers,
• Process flow based and service orientedhowever, are closing the functional gap at price
approach to data transformation and integrationpoints that cannot be overlooked.
• Easy to use, intuitive graphical interface toAuthor is an expert on ETL software and solutions
define data mapping and data transformation rulesand if you are looking to evaluate ETL Tools then he
• Includes both graphical design environment andwill recommend best tips for selecting the right tool
fully featured run-time engine in one packageto manage the business.
• Well suited for data aggregation required to