During the beta phase, we partnered with several early adopters, and iterated to general availability by incorporating feedback that would allow customers to leverage these integrations at scale in a reliable manner. These integrations are packed with features, but here are some key highlights:
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Integrated with Unity Catalog: This allows customers to query data via SQL warehouse as soon as the data is ingested into the Lakehouse
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Validated support on major clouds: Databricks on AWS, Azure
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Supports selective syncs: This allows customers to filter and control what gets ingested into the Lakehouse
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Supported in Segment US and EU workspaces
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Supports OAuth authentication
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Supports ingesting Segment events (e.g.: events triggered by user actions on a website) and object data (e.g.: data from a SaaS app) into the Lakehouse
Data teams and marketers can leverage Twilio Segment to apply powerful machine learning capabilities available in the Databricks platform and implement mission critical use cases like marketing attribution, predictive analytics, churn prediction, measuring marketing campaign performance, measuring ROI on ads spend, and so much more. Furthermore, in a more traditional BI sense, Data teams can also leverage these integrations to ingest and query from a cloud agnostic data store, build dashboards, and perform exploratory data science.
“Databricks customers, now with bi-directional integrations from Twilio Segment, can empower Data and Marketing teams to seamlessly ingest and activate data directly in the Lakehouse. By combining the power of Twilio Segment’s Customer Data Platform and Databricks’ machine learning capabilities, customers can build a comprehensive view of their users and unlock the full potential of their data.” said Steve Sobel, Databricks Global Head of Communications, Media & Entertainment GTM
Please read our documentation to learn more about these integrations and how you get started today: