Real-Time Analytics Across Data Sources Using Dremio

Опубликовано: 05 Сентябрь 2024
на канале: Dremio

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This video demonstrates how to use Dremio, a unified Lakehouse platform, to create a self-service analytics dashboard. In this example, a company wants to track its inventory value across multiple warehouse locations. The data is stored in Iceberg tables in different data lakes. Dremio allows users to virtualize the data and implement logical modeling to transform, model, and combine data without physically moving it. This eliminates the need for complex and costly ETL processes.

The video shows how to explore the data, create a view, connect the view to a BI tool (Tableau), and build a dashboard. Dremio's AI-powered features, such as text-to-SQL and automatic reflection recommendations, streamline the process and enhance performance. The final dashboard loads instantly and provides real-time insights into inventory value across all warehouse locations.
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