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

Presented by

Tian de Klerk, Director of Business Intelligence, S&P Global

About this talk

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. In this video, you will learn 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
Dremio

Dremio

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Dremio is the easy and open data lakehouse platform.
Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance.
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