Simplify your Lakehouse Architecture with Azure Databricks
Today's companies are dealing with data of many different types, in many different sizes, and coming in at varying frequencies. These companies are looking beyond the limitations of traditional data architectures to enable cloud scale analytics, data science, and machine learning on all of this data.
One architecture pattern that addresses many of the challenges of traditional data architectures is Databricks’ lakehouse architecture.
Join our live session on 21 July as we walk through the evolution of data management and why building an architecture with Azure Databricks, Delta Lake, and Azure Data Lake Storage offers the foundation for lakehouse use-cases that is open, extensible, and future proof.
We’ll also discuss the various Azure services that fit into different components of the Databricks Lakehouse architecture and how the lakehouse model enables teams to work in a unified system that provides performant queries, support for streaming, data science, machine learning and BI capabilities -- all built on a single source of truth.
At this event, you’ll learn:
- How various Azure services fit into the different components of the Databricks lakehouse architecture
- How the lakehouse model enables teams to work in a unified system that provides performant queries and support for streaming, data science, ML and BI capabilities
Register Now
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