Gnarly Data Waves
Episode 44
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January 30, 2024
How S&P Global is Building an Azure Data Lakehouse with Dremio
Join us in this webinar and learn how S&P Global built an Azure data lakehouse with Dremio Cloud for FinOps analysis. If you are looking for ways to eliminate expensive data extracts in BI cubes, then this will be a great episode to check out.
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
Watch or listen on your favorite platform
Speakers
Tian de Klerk
Experienced Solutions Specialist with a demonstrated history of working in the information technology and services industry. Skilled in Data Analytics, currently specialising in cloud cost and utilisation analysis for AWS and Azure. Strong professional with a Bachelor of Science focused in Informatica and an MPP Data Science.
Tony Truong
Tony Truong is a Sr. Product Marketing Manager for Dremio. He has experience building go-to-market strategies that drive product adoption and solutions offerings across various industries.
