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