Semantic Layer Summit Video Sessions Now Available on Demand

Semantic Layer Summit Video Sessions Now Available on Demand

AtScale’s Second Annual Event Drew Over 10,000 Participants to Learn About Latest Advancements in Semantic Layer Technology

AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced that all session videos from its second annual Semantic Layer Summit are now available on demand.

More than 10,000 data and analytics professionals participated in the virtual conference, held on April 26, 2023, to explore the development of the semantic layer technology category. The conference featured more than 50 industry leaders, including professionals from AWS, Databricks, Dremio, Google Cloud, InterSystems, Monte Carlo, Snowflake, Snowplow, Stardog, Toric, and BigEye.

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The virtual conference center provides easy access to all session videos, covering a range of topics, such as Data Mesh, Data Products, Finops, and the Modern Data Stack.

Available sessions include:

  • The Semantic Layer in the Modern Data Stack
  • Exploring the Semantics of Semantic Layers
  • Paving a Road to an Effective Data Mesh, a fireside chat on the evolution of data mesh and decentralized analytics innovation
  • How a Semantic Layer Supports Modern Data Products
  • Data & Analytics Governance Strategies for Driving Growth & Preventing Anarchy

AtScale has also launched a new Semantic Layer Slack channel, that welcomes data and analytics professionals to keep the conversation going and establish meaningful connections through peer-to-peer interactions.

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision-making.

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