The Kalido Information Engine offers significant automation of repetitive, manual and resource-intensive tasks across all phases of data warehouse development and deployment. And we’re not a code generator – it is a true engine. Here is a sample of data integration tasks that our technology automates compared to traditional 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|
We're ready to talk about your complex and ever-changing information needs and show you how Kalido's proven, agile approach can unlock the value of your information.
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.