The Death of Legacy ETL
“The rise of machine learning and generative AI makes pipeline creation trickier and more complex than ever. Data engineers are now some of the busiest people around because they have to meet high demand for high volumes of fast-changing, multi-sourced and multi-structured data. Modernizing pipelines to break through this bottleneck requires multiple modern data integration patterns, such as ELT and streaming, rather than just legacy ETL." - Kevin Petrie, Vice President of Research, BARC
Long predicted, is legacy ETL finally dead?
Delivering value from data starts with transforming raw data to insightful and ready for analytics data. With the rise of AI, tools that don’t take advantage of the cloud just don’t cut it.
Don’t be held back by:
- Fragmented governance
- Duplicated effort
- Locked in workflows
Is it time to say goodbye to the old ways of moving data to transform it and modernize to take a cloud first approach?
Check out this great presentation and lively discussion with our panel of seasoned experts and analysts to find out!
Research
BARC
Co-founder,
Prophecy
Product Marketing
Prophecy