Teams can get managed access to central data warehouses and data lakes to combine this data with processing and infrastructure in their own cloud tenants. Common usage scenarios are "analyst workbenches" for cloud-native DL/DW tools like BigQuery that provide a self-service UI and "advanced data pipelines" where teams need to load/query data from the central lake into their own pipelines (e.g. different teams building ML models for different purposes from common data).

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Giving teams the ability to connect to the central DL/DW gives teams freedom about tech stack (not locked into a central processing platform like Spark, instead can provision any tooling they need including serverless) while retaining control (via cost, central policies).

Sharing a Memo with some ideas around that topic derived from the DFKI research exchange in Stockholm, June 2019.

Related Tools

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