Real-time ETL in Striim
Alok Pareek, Bhushan Khaladkar, Rajkumar Sen, Basar Onat, Vijay Nadimpalli, Mahadevan Lakshminarayanan · 2018
In the new digital economy, on demand access of real time enterprise data is critical to modernize cross organizational, cross partner, and online consumer functions. In addition to on premise legacy data, enterprises are producing an enormous amount of real-time data through new hybrid cloud applications; these event streams need to be collected, transformed and analyzed in real-time to make critical business decision. Traditional Extract-Load-Transform (ETL) processes are no longer sufficient and need to be re-architected to account for streaming, heterogeneity, usability, extensibility (custom processing), and continuous validity.