In this episode, we dive deep into how Dremio combines data virtualization, a semantic layer, and a data lakehouse architecture to create a powerful platform for data analytics and management. Discover how Dremio’s unique approach simplifies data workflows, enhances data accessibility, and maximizes the value of your data assets.
We’ll explore:
• The benefits of data virtualization and how it integrates disparate data sources.
• The role of a semantic layer in providing a unified and consistent view of data.
• How a data lakehouse architecture offers the best of both data lakes and data warehouses.
Tune in to understand why Dremio is becoming the go-to solution for modern data environments and how it stands out in the competitive landscape.
• Intro to Apache Iceberg, Nessie and Dremio on your Laptop (
• JSON/CSV/Parquet to Apache Iceberg to BI Dashboard (
• From MongoDB to Apache Iceberg to BI Dashboard (
• From SQLServer to Apache Iceberg to BI Dashboard (
• From Postgres to Apache Iceberg to BI Dashboard (
• Mongo/Postgres to Apache Iceberg to BI Dashboard using Git for Data and DBT (
• Elasticsearch to Apache Iceberg to BI Dashboard (
• MySQL to Apache Iceberg to BI Dashboard (
• Apache Kafka to Apache Iceberg to Dremio (
• Apache Iceberg Lakehouse Engineering Video Playlist (
• Apache Druid to Apache Iceberg to BI Dashboard (
• Postgres to Apache Iceberg to Dashboard with Spark & Dremio (
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