While transitioning to Azure Data Lake Storage, this company has turned to Starburst to achieve secure, cost-effective data analytics at scale.

When one of the world’s leading food and beverage companies, with multiple brands generating more than $1B each in estimated annual retail sales, recognized the need to upgrade its data storage and analytics capabilities, the company turned to Starburst Data and Microsoft.

This global conglomerate’s diverse portfolio of brands resulted in massive quantities of data siloed in different proprietary systems, and analyzing this trapped data was nearly impossible. To remedy this, the company’s Data Engineering Services team initiated a plan to stream all new data into Microsoft’s Azure Data Lake Storage (ADLS) and access it with Starburst.

Read this case study to learn how this helped them achieve a massively scalable analytics platform that can be accessed from anywhere.

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Starburst Enterprise

Fast, free, distributed SQL query engine for big data analytics

Starburst offers a free, unlicensed version which includes:

  • Certified and secure releases
  • Cost-based optimization for federated queries
  • Connector extensions, including table statistics
  • Usage metrics

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