S&P Global, a leader in analytics and financial information services, faced challenges with slow query times, data silos, and high costs from complex data manipulations and Azure Cosmos DB usage. They adopted Dremio, which integrates seamlessly with Azure Data Lake Storage and supports Apache Iceberg, enabling direct data querying without duplication. This transformation reduced query times by 70% and cut operational costs by 50%, eliminating the need for Azure Cosmos DB. Dremio's self-service analytics and advanced data security improved internal reporting and decision-making, driving innovation and strategic decisions at S&P Global.

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