Kalido Information Engine
Develop and deploy a high quality data foundation for analytics in 90 days or less
Introducing Kalido Information Engine version 9
- Accelerates time to value by removing dependency on data sourcing tasks
- Integrated data loaders deliver faster overall load performance resulting in smaller batch windows
- Accelerates the migration & consolidation of data marts by exploiting existing data mart models, taxonomies and glossaries to build new, more agile warehouse platforms.
- Simplifies the warehouse architecture from landing zone to Business Intelligence metadata
- Available on the Oracle Exadata platform, delivering dramatic improvements in load performance & end-user response times.
- Significant savings for IT and improved data consistency & agility for the business
Webinar
Watch our on-demand webinar to hear how beta users are using version 9's new capabilities - and how the new version will change the shape of data integration for data warehousing.
Reduces the Need for ETL Tools
- 65% Reduction in Data Integration vs. Traditional
- New Automation in version 9
| Capability |
Kalido |
ETL Tools |
| Create and maintain landing tables |
Automated |
Manual |
| Single mapping for population of multiple entities/tables |
Automated |
Manual |
| Dependency management for parallel execution driven by the model |
Automated |
Manual |
| Graphical query builder to create complex extract definitions |
Automated |
Manual |
| Type conversion between landing zone and warehouse tables |
Automated |
Manual |
| Extract only option to data in acquisition layer for subsequent transformation |
Automated |
Manual |
| De-duplication of data between landing and staging |
Automated |
Manual |
| Load mappings apply to initial and incremental load |
Automated |
Manual |
| Loosely typed landing tables to minimize external load failures |
Automated |
Manual |
| Suspense views and summaries for rejected data |
Automated |
Manual |
| Multi-entry versioning in single mapping job |
Automated |
Manual |
White paper
ETL tools have their place in many integration projects, however their disadvantages outweigh their ability to assist customers to deliver agile data warehouses that can enable business value in a timely way. Read how Kalido overcomes these issues by automating the data integration tasks which otherwise would be manually constructed – and maintained – in ETL tools.
For more details, read our press release Kalido Speeds Time-To-Value with Information Engine Version 9.0
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