19 - Data Virtualization + Semantic Layer + Data Lakehouse = Dremio

SELECT * FROM data.lake; - A podcast by Alex Merced

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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