Financial Services • Databricks Databricks

Data Lake Expansion on Databricks

Delivered a further stage of the client's Databricks data lake, structuring components for processing, governance and consumption of data.

Ref: DPRIA103831

Video story · 1:01

The challenge

The client needed to extend its data lake to bring in more data for processing and consumption.

The approach

Kumulus structured the technical components required for processing, governance and consumption of information on Databricks.

The outcome

Investment analytics gained a new data source, extending the governed foundation for downstream reporting and analysis. TMF CSV data is now ingested and transformed in the expanded Databricks data lake.

Built on Databricks Powered by

Could this work for your organisation?

The AI Audit shows where data and AI will deliver measurable value for you first.