The State of Data Governance in the Public Sector
The Government was one of the first adopters of large scale data analytics. But these early investments have resulted in legacy systems, where data is isolated in silos, making federation impossible, and limiting the value of analytics. Many agencies have tried to mitigate this by replicating data across data warehouses, but this results in higher costs, governance, and versioning issues. The solution is a modern data lake in the cloud. During this on demand virtual session we will address the big questions and provide practical best practices: How do we do this securely, reliably, and efficiently in the cloud? How can we create a single source of truth? How do we provide the data pipelines and tooling for BI, analytics and machine learning? How are other government agencies addressing these questions today?"
Session ID: Presentation Type: On-Demand Session (Recorded)
Date / Time: [Content On-Demand] @ On-Demand ET (US)
Presented by:Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems. Click for more details and additional sessions and content.
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