Nebula: The Journey of Scaling Instacart’s Data Pipelines with Apache Spark™ and Lakehouse
Summary
Instacart migrated its large-scale advertising and data pipelines from a traditional data warehouse to a Databricks lake house powered by Apache Spark and Delta Lake. The presenters demonstrate how this transition unified batch and streaming data processing, reduced storage and compute costs for over 40 petabytes of data, and improved developer productivity through Scala-based modular pipelines and local unit testing.
Summary generated by brickster.ai from the video transcript.
More from Databricks
NewsTeach AI how your business actually runs
Model intelligence is no longer the bottleneck for enterprise AI adoption because modern frontier models easily handle complex reasoning tasks. Business value requires providing these models with specific organizational context and metadata about internal processes to create a competitive advantage.