Data Warehousing Data Engineering Data Science and ML Data Streaming All structured and unstructured data Cloud Data Lake Unity Catalog Fine-grained governance for data and AI Delta Lake Data reliability and performance Databricks Lakehouse Platform is the foundation for Data Engineering
of sensor data processed efficiently 86% reduction in time to production Saved immense data management time and effort Enabled data analysts to build their own data pipelines with SQL Enabled the NextGen self-service data quality platform Supports a 100+ table pipeline in one managed job - time and money savings Customers Save Time with Delta Live Tables
to ingest and analyze data from car service stations. Use this data to get Insights into issue types, what parts are being replaced, regulatory reporting, and part replacement forecasting. Service health and vehicle reliability “It's so intuitive that even somebody with only moderate Python skills can create efficient, powerful data pipelines with relative ease” - Tom Renish, Principal Data Architect, Rivian
are migrating our human resource management data to an integrated data store on the Lakehouse. Delta Live Tables has helped our team build in quality controls, and because of the declarative APIs, support for batch and real-time using only SQL, it has enabled our team to save time and effort in managing our data." Jack Berkowitz, CDO, ADP
Challenge • 70+ use cases impacting supply chain, operations, product development, marketing, customer exp • Large volumes of IoT data from millions of sensors difficult to harness for actionable insights and ML due to operational load created by complex data pipelines Why Databricks + DLT? • Lakehouse for unified data warehousing, BI, & ML — enabling new use cases not possible before • DLT enables Shell to build reliable and scalable data pipelines - automatic job maintenance and deep pipeline visibility saves time and resources Impact of DLT • Process 1.3 trillion rows of sensor data with ease • Simplifying ETL development and management for faster insights and ML innovation “Delta Live Tables has helped our teams save time and effort in managing data at this scale. With this capability augmenting the existing lakehouse architecture, Databricks is disrupting the ETL and data warehouse markets, which is important for companies like ours. We are excited to continue to work with Databricks as an innovation partner.” - Dan Jeavons, GM Data Science
their thoughts “New gold standard for data pipelines” “Delta Live Tables makes it easier for us to build intelligence into our data ingestion process” “Delta maintenance tasks are no longer an afterthought for developers” “Expectations allows us to trust the data”
Challenge • Real-time insights for real estate investors • Holistic view of real estate insights for informed real estate buying and selling decisions • Processing hundreds of millions of records on increasingly complex and bogged down architecture Why Databricks + DLT? • Lakehouse architecture and DLT frees up Audantic’s data teams from focusing on infrastructure so they can innovate more easily • DLT allows them to build and manage more reliable data pipelines that deliver high-quality data in a much more streamlined way Impact of DLT • 86% reduction in time-to-market for new ML solutions due to shorter development time • 33% fewer lines of code required • Productivity value: $300k “Delta Live Tables is enabling us to do some things on the scale and performance side that we haven’t been able to do before,” explained Lowery. “We now run our pipelines on a daily basis compared to a weekly or even monthly basis before — that's an order of magnitude improvement.” - Joel Lowery, Chief Information Officer at Audantic
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