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Does the shift to modern, agile data management practices mean EOL for ETL? Today’s data-driven organizations are moving data into flexible centralized storage structures, such as data lakes and cloud blob storage, and using new data preparation technologies to assess and transform data for analytics success.
This eBook explores the shift from ETL to data wrangling in the cloud. It documents each phase in the evolution:
- Creating and filling the data lake
- Moving data to the cloud
- Decoupling data movement from data preparation
- Supplanting data transformation with data preparation
- Retiring ETL and embracing data wrangling