Data is the focal point for innovation and disruption, but organizations are increasingly challenged with managing massive amounts of data to derive value. With new analytics and ML requirements, organizations need a flexible, multicloud data architecture that supports all data types, data teams and new use cases. This keynote will introduce you to the data lakehouse architecture and key concepts, as well as describe how your data teams can leverage the Databricks Lakehouse Platform for data engineering, analytics, data science and machine learning.
Lakehouse and the modern cloud data architecture
Storing data once whilst making it available to all use cases.
Simplifying your architecture to enable data to flow from raw data to business value.