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Watch On-Demand: Modernizing Multidimensional Analysis in Snowflake with Cube Cloud

  • Snowflake
  • Cube

Watch on demand here.

Many companies have seen the benefits of migrating their on-prem legacy data warehouses into the cloud. Snowflake is a popular destination for these workloads, bringing to the table a complete data platform that includes a highly scalable and performant sql engine. However, when companies migrate data warehouses that include an OLAP cube engine as a feature to support multidimensional analysis, they frequently break connectivity to an important tool their users rely upon– Excel.

Learn how the MDX API endpoint in Cube Cloud can restore this direct query connectivity between Excel and Snowflake. Hear from Snowflake and Cube data experts about the challenges of direct query access to Excel and why this feature is still important to many users.

Key Topics Covered:

  • How multidimensional analysis is still used in many disciplines such as scenario planning, financial planning & analysis (FP&A) and supply chain management
  • Common challenges encountered when migrating from OLAP engines like SQL Server Analysis Services, Oracle Essbase, or SAP Hana to Snowflake
  • An introduction to the role of the semantic layer in the data landscape
  • How Cube Cloud is evolving as a product to enable direct query access between Excel, and other applications that use MDX as a query language, and data platforms like the Snowflake AI Data Cloud.