Storing API Data in Lakehouse
Details
Teams Meeting: Link
Meeting Sponsor: CGI
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.