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Form analysis
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Text Content

 * Product
   * * * Unified Lakehouse Platform OverviewThe Dremio Unified Lakehouse
         Platform brings users closer to the data with lakehouse flexibility,
         scalability, and performance at a fraction of the cost
   
   * * * --------------------------------------------------------------------------------
   
   * * * KEY CAPABILITIES
       
       * Enterprise Iceberg CatalogIceberg data catalog with Git‑inspired
         versioning
       * Iceberg Data Catalog
       * Git-for-Data
     * * Unified AnalyticsGoverned, self-service analytics across all your data
       * Self-Service Analytics
       * Universal Semantic Layer
       * Data Governance
     * * SQL Query EngineBest price-performance for BI and interactive analytics
       * Reflections Query Acceleration
       * Price Performance
       * Query Federation
     
     * * POWERED BY
       
       * Dremio for Apache IcebergDremio Iceberg capabilities and benefits
       * Open Data ArchitectureBuilt on key open source projects, including
         Dremio-led contributions
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GNARLY DATA WAVES


 1. Home
 2. Gnarly Data Waves
 3. Mastering Semantic Layers: The Key to Data-Driven Innovation

Episode 54

|

August 8, 2024


MASTERING SEMANTIC LAYERS: THE KEY TO DATA-DRIVEN INNOVATION

A semantic layer in data analytics acts as a bridge between complex data and
business users, simplifying data access and interpretation. It enables
self-service analytics, ensures data consistency, and accelerates
time-to-insight, transforming your data strategy for faster, data-driven
decision-making.

Learn how to master semantic layers with Dremio. We will provide a high-level
overview of their purpose in modern analytics, showing how they act as a bridge
between complex data sources and business users.

You’ll learn how semantic layers simplify data access, ensure consistency, and
empower users to derive meaningful insights from data, regardless of their
technical expertise.

– The definition and core purpose of a semantic layer in data analytics: How it
acts as a bridge between complex data and business users, simplifying data
access and interpretation.

– Key benefits and use cases of semantic layers: How they enable self-service
analytics, ensure data consistency, and accelerate time-to-insight.

– How Dremio’s semantic layer technology can transform your data strategy:
Dremio makes it easier to manage and leverage your data for faster, data-driven
decision-making.

Download presentation slides (pdf)

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