Companies may have approached ETL (extract, transform and load) with a set-it-and-forget-it mentality prior to Big Data, but as some organizations are discovering, that approach needs to change. Download this CITO Research white paper today to learn about:
- Addressing ETL pain points
- Current options to improve ETL at Big Data scale
- The pros and cons of ETL on Hadoop
- How a Hadoop RDBMS can streamline the ETL pipeline