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ETL Software

 Data Transformation Server - Free Download                                               Get Pricing Information
 Adeptia Data Transformation (ETL) Server Datasheet                                         Request Live Demo
 Adeptia DTS Demonstration (18 minutes video)                                                         Contact a Rep
 Data Mapping Demonstration (6 minutes video)                                                         

ETL Software: Extract, transform, load, and manage data from single environment

Adeptia designed and developed the ETL software to focus on rapid implementations through its ease of use and cost effectiveness for Extract, Transform, and Load (ETL) and data warehousing type of scenarios. Based on Adeptia Data Transformation Server, ETL Software is a comprehensive solution that includes a design studio and combines data transport with powerful metadata management and data transformation capability, all of which enable the rapid generation of data warehouses, data marts and data streams.


Solutions
Extract, Transform and Load (ETL)
Data mapping and transformation
Data conversion and migration
Metadata dictionary
Data hubs, data marts and data warehouses
ETL Solution / Data Warehousing

This is enterprise-class software that is centrally administered and managed to ensure smooth performance and uptime. Detailed logs are maintained and audit trails are available to ensure compliance with regulatory requirements like Sarbanes-Oxley. This product is standards-based and it leverages Service-Oriented Architecture (SOA) and process-based approach to create flexible and loosely coupled data flows that suit any aggregation or data warehousing solutions. It is ideally suited for an Extract, Transform and Load (ETL) scenario. Data Mapper

Benefits
  • Create reusable, easy to modify ETL processes to attain higher data quality
  • Rapidly generate data marts and data streams
  • Cost effective data integration and ETL through one single platform
  • Document and formalize data flows and mapping rules
  • Enforce data validation rules by specifying them in processes
  • Ensure data flows are constant and repetitive, not ad-hoc
  • Trigger data flows based on real-time or scheduler events
  • Specify error-handling rules and manage exceptions
  • Leverage technology investments by extending functionality of existing systems
  • Enhance customer and partner relationships by making it easier to do business with your organization

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