Driving open source adoption within the enterprise
summary
Teradata describes a reproducible stack for enterprise analytics centered on an industrial data lake and a new discipline called analytics ops that automates dataset creation, model training, champion–challenger testing and deployment. Kylo is presented as an open‑source orchestration layer (built on Apache NiFi and Spark) used in production at several large financial, CPG and telecom customers to manage thousands of feeds and enable visual data wrangling. Examples include model deployment workflows that integrate with TensorFlow and Teradata’s parallel DB on AWS.
AI-written summary · about
chapters (6)
related talks
06mDriving enterprise open source adoption, from data lake to AI
32mBig Data With Open Source Solutions
56mWelcome & State of Open Source Databases
29mOpen Source Powers The Modern Data Stack
06mDemocratizing Big Data and Hadoop-Based Platforms and Solutions
51mUsing Open Source BI in the Real World
19mOpen Source Reliability for Data Lakes
06mOpen by design, open for data
