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?
  
  

Watch our on demand virtual breakfast seminar to learn how to overcome the challenges of building a scalable data lake in the cloud with a unified approach to data analytics powered by Databricks and popular open-source tools such as Apache Spark^TM and Delta Lake. We’ll hear from Shawn Benjamin, OIT Chief of Data & Business Intelligence for U.S. Citizenship and Immigration Services who will discuss some of the lessons learned from modernizing the USCIS enterprise lake and data analytics platform. We’ll also share how Databricks, along with Immuta’s Automated Data Governance platform, enables you to easily scale analytics in the cloud in a secure, compliant, policy-driven and automated way. We’ll finish with a live demo and Q&A.

AGENDA AT A GLANCE

• State of Data Governance in the Public Sector
• Building a Secure Modern Data Lake for Analytics and ML at Scale 
• Customer Story and Q&A
• Break
• Fireside Chat: Automating Data Governance with Immuta 
• End-to-End Data Governance Demonstration with Databricks + Immuta
• Event Wrap | Q&A

Event Sponsor: Databricks (Databricks Privacy Policy)
Event Co-Sponsor: Immuta (Immuta Privacy Statement)