EP44 - How S&P Global is Building an Azure Data Lakehouse with Dremio
Update: 2024-01-31
Description
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
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