Death of Traditional ETL

To deliver access to all of the data needed to power self-service and new AI use cases, data teams need to take a new approach. Traditional ETL and data preparation processes are disconnected from cloud data platforms and hold teams back with security risks, data quality issues from copies of data, and hidden costs.

Download this exclusive white paper by Kevin Petrie, VP of Research at BARC to learn how modern pipeline patterns beyond traditional ETL can 

• broaden data access
• enable popular AI use cases
• Speed cloud adoption with self-service
  

“The rise of machine learning and generative AI make data teams some of the busiest people around. They have to meet new demand for high volumes of fast-changing, multi-sourced and multi-structured data. Modernizing pipelines to break through this bottleneck requires new approaches rather than just traditional ETL." - Kevin Petrie, Vice President of Research, BARC.

Download this white paper and learn how new approaches to data integration can speed data access to power new AI use cases and self-service.