What SAS Has Been Up To
summary
SAS launches SAS data loader for Hadoop about a month ago and claims it uses scoop Uzi and generates Hive ql to move data in and out of clusters, plus the option to install a lightweight SAS engine on each node to do data standardization and profiling in-cluster. The product targets self-service ETL to bridge Hadoop skill gaps, plugs into legacy data management suites, and a new next‑generation analytics engine is underway to scale analytics across clusters.
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chapters (6)
- 0:00Introduction
- 0:55Data management
- 3:45Data governance
- 5:16Traditional data warehouse vs Hadoop
- 8:22Data for business vs IT
- 9:50Whats next for SAS
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