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.
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