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Teradata@Twitter

Teradata at Twitter: Feature Pipelines

Twitter, a communication services organization in the United States, uses Teradata AI Unlimited from Teradata to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
CapabilityData scientists and ML engineers work from the same Teradata AI Unlimited record for feature pipelines
CapabilityFeature pipelines can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for feature pipelines

Story

Twitter grew feature pipelines faster than the local tools around it. From the United States, communication services teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.

Rolling out Teradata AI Unlimited put applied machine learning on Teradata. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. Twitter keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.

Relationship map

Twitter uses Teradata, Cartesia, Snowflake, Nutanix. Shared with 6sense, ABB, ACS Group, Activision Blizzard, Advantest. Industry: Communication Services. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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