Igniting the app economy with better ad experiences
Digital TurbineDatabricks SQL · Delta Lake · Lakeflow Jobs +1
Digital Turbine migrated its ETL-based data warehouses to Databricks on Google Cloud, using BigQuery and Vertex AI within the platform to power services like real-time Install Intelligence and application decisioning, saving tens of thousands of dollars per month in hosting costs and reducing cross-system debugging time by 10-20%.
Overview
Digital Turbine migrated its ETL-based data warehouses to Databricks on Google Cloud, using BigQuery and Vertex AI within the platform to power services like real-time Install Intelligence and application decisioning, saving tens of thousands of dollars per month in hosting costs and reducing cross-system debugging time by 10-20%.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Digital Turbine initially processed vast amounts of on-device data in several ETL-based data warehouses, most of which ran on-premises and required heavy maintenance, straining the data team and making it hard to deliver data in the format data science and BI teams needed.
The solution
Digital Turbine chose Apache Spark as its new data technology foundation and implemented it with Databricks on Google Cloud, using Google Cloud tools such as BigQuery and Vertex AI within the Databricks Data + AI Platform, plus Databricks SQL Serverless and Unity Catalog for governed, technology-agnostic data access.
Reported business value
Digital Turbine saved tens of thousands of dollars per month in hosting costs, reduced the data management team's workload by about 20%, and streamlined delivery time from three weeks to less than a week for most new releases.
Sources
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