How to Deliver Speed-of-Thought Analytics at Scale with a Data Mesh in the Cloud


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Learn about Rakuten, one of the largest loyalty programs in the US, and their mission to enable its employees to derive insights from company data faster, with more security, governance, and agility, using a Data Mesh with AtScale’s Semantic Layer while leveraging the speed and scalability of their Data Cloud, Snowflake.

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Now available on-demand!

Join this webinar featuring the VP of Analytics at Rakuten Rewards, Mark Stange-Tregear, to learn how Rakuten Rewards uses a Data Mesh strategy and has migrated their analytics infrastructure from Hadoop to Snowflake and boosted performance with a semantic layer as part of their Data Mesh infrastructure.

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This live customer webinar and Q&A session covers how Rakuten:

  • Migrated to Snowflake with no business or data service disruption
  • Uses AtScale for resource-saving autonomous data engineering and auto-tuned query optimization
  • Applies Snowflake’s elastic and scalable resource model to maintain responsive data analysis during peak demand periods
  • Leverages AtScale’s semantic layer data aggregates to deliver agility and lightning fast query performance while automatically optimizing Rakuten’s analytical workloads
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Who should watch

Data, AI & BI leaders and practitioners (e.g., Chief Data Officers, data scientists, and BI/analytics professionals) looking to modernize their data & analytics stack for more speed and scalability.