TDWI Digital Dialogue
Modernizing ETL For Faster Cloud Data Migration
Cloud migration is a top priority for most organizations. However, the
thousands of time-consuming and costly extract, transform, and load (ETL) jobs
that organizations run using on-premises systems are a major barrier to rapid
and transformative cloud migration.
Organizations need to convert many of these to run in the cloud. Pressures on ETL are growing as organizations democratize data access and analysis and new users want to realize value by
interacting with faster and more-voluminous data sources.
Strategies
In a recent webinar, TDWI senior research director for business intelligence David Stodder spoke with Shiv Narayanan, product manager with Amazon Web Services (AWS), and Ranjith Ramachandran, big data lead with Wavicle Data Solutions, about strategies for modernizing ETL for faster cloud data migration.
Download the summary of the discussion by filling out the form below.
