EP44 - How S&P Global is Building an Azure Data Lakehouse with Dremio

S&P Global is a leading global financial services company headquartered in New York. It provides credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. As a company, data is an essential asset across all of S&P Global’s solutions offerings. Watch Tian de Klerk, Director of Business Intelligence, as he shares how they built a data lakehouse for FinOps analysis with Dremio Cloud on Microsoft Azure. Tian will share about: - The hidden costs of extracting operational data into BI cubes - Simplifying traditional data engineering processes with Dremio’s zero-ETL lakehouse - How Dremio’s semantic layer and query acceleration make self-service analytics easy for end users