How a Self-Service Semantic Layer for Your Data Lake Saves You Money
Why grapple with pipeline complexity when you can query your data lake directly?
A semantic layer opens up your data lake to business users by providing an integrated, searchable catalog that indexes all of an organization’s data assets, without the overhead and complexity of copying data. While the concept of using a semantic layer to query data isn’t new, innovation around cloud-based data lakes has expanded its potential, enabling faster, more cost-effective reporting and analytics across user groups.
Brock Griffey Sr. Solutions Architect Dremio
Lucio Daza Dir. Technical Marketing Dremio
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What you will learn:
Common challenges with semantic layers and how to overcome them
How a semantic layer reduces pipeline complexity and overhead
Keys to successfully implementing a self-service semantic layer on the data lake