Name: Storing API Data in Lakehouse
Start: 2025-08-12T12:00:00-05:00
End: 2025-08-12T13:30:00-05:00
Location: CGI (Formerly Daugherty)

Teams Meeting: [Link](https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWYxYTY0OWQtYWQ1Ni00NTVkLTk0YzMtNTk2MTJkNGU0ZGIw%40thread.v2/0?context=%7b%22Tid%22%3a%22b4c9f32e-da17-4ded-9c95-ce9da38f25d9%22%2c%22Oid%22%3a%22b34f512a-1457-43f4-9ae2-1ed343afe7f9%22%7d)

Meeting Sponsor: [CGI](https://www.cgi.com/us/en-us)

**Topic: Storing API Data in Lakehouse**
This is a session for beginners who are working with data lake and lakehouse projects with API ingestion as a source. We'll look at some of the to store data in a format that follows medallion architecture and keeping schema evolution in mind. This method could be used for other similar and applicable sources too.

**Speaker: Murali Subramanian**
**Murali Subramanian** is a BI Engineer Lead at SSM Health. He works in the healthcare industry doing data and analytics for 13+ years now.
T-SQL, Python, PowerShell, SQL Server, Azure SQL, Azure Databricks, Power platform, GitHub, Azure DevOps, Azure Data Factory, SSIS are some of the tools and tech that he uses.

Julie Bloomquist

Murali Subramanian

St. Louis SQL Server and Business Intelligence User Group

Azure Data Tech Groups

Technology

Database Professionals

SQL Azure

Data Analytics

Database Development

Data Management

SQL Server

Will you be attending In-Person or Online? This is for the lunch count.

Storing API Data in Lakehouse

CGI (Formerly Daugherty)

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