Now that analytics stacks reside in the cloud, ETL and data preparation overlap in the cloud, too. Cloud data preparation has become the critical task in enabling modern analytics.
This report from GigaOm describes how cloud data preparation:
- Moves data to the cloud, within the cloud, and between clouds via a disciplined but versatile process of data exploration, pipeline construction, and operationalization
- Broadens the array of data sources feeding modern repositories, including cloud data lakes and data warehouses
- Handles the volume and frequency of data ingestion that reporting analytics, data science/machine learning, and data onboarding use cases require