Driving enterprise open source adoption, from data lake to AI

on YouTube ↗06m

" summary

Teradata explains how enterprises combine data warehouses and Hadoop data lakes to run SQL on raw petabyte data with Presto, stream ingest and real‑time response with Listener and Spark/Flink, and productionize models with TensorFlow and GPU training. The company open‑sources Kylo as a Spark/NIIFI framework for ETL, cites Facebook-scale Presto use, and gives concrete use cases: visual search, anti‑fraud, recommendation tuning, and automotive telematics.

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" chapters (5)

1. 0:00Introduction
2. 0:31The foundation of analytic insight
3. 1:40Integrating data warehousing with data lakes
4. 2:58Realtime response
5. 3:22Application of AI

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