Guide on connecting Microsoft SQL Server to Dremio Cloud for federated analytics, avoiding ETL and reducing license costs.
Guide on connecting Oracle Database to Dremio Cloud for federated analytics without data movement, covering setup, optimization, and AI integration.
Guide on connecting MySQL to Dremio Cloud for federated analytics, eliminating ETL pipelines and improving query performance.
A tutorial on using Dremio's AI_CLASSIFY SQL function to categorize data like customer sentiment and support tickets directly within a data lakehouse.
Introduces dremioframe, a Python DataFrame library for querying Dremio with a pandas-like API, generating SQL under the hood.
A hands-on tutorial exploring Dremio Cloud Next Gen's new free trial, covering its lakehouse platform, AI features, and SQL capabilities.
A guide to setting up and using Dremio's Auto-Ingest feature for automated, event-driven data loading into Apache Iceberg tables from cloud storage.
A tutorial on using SQL with Apache Iceberg tables in the Dremio data lakehouse platform, covering setup and core operations.
Explores how Dremio and Apache Iceberg create AI-ready data by ensuring accessibility, scalability, and governance for machine learning workloads.
A hands-on tutorial for setting up a local data lakehouse with Apache Iceberg, Dremio, and Nessie using Docker in under 10 minutes.
Using GitHub Actions to trigger Airflow DAGs for orchestrating data pipelines across Spark, Dremio, and Snowflake.
A hands-on tutorial for building a Data Lakehouse on your laptop using Apache Iceberg, Spark, Nessie, Minio, and Dremio.
Explains why data professionals should adopt Dremio and Apache Iceberg for flexible, high-performance data lakehouse architecture.
A list of upcoming tech talks and events by Alex Merced, focusing on Apache Iceberg, data lakehouses, and data engineering topics.
A video course covering the fundamentals of lakehouse engineering using Apache Iceberg, Nessie, and Dremio for data management.
A tutorial on using Dremio and Docker to run SQL queries directly on Excel files from your local machine.
A hands-on tutorial on building a data lakehouse pipeline using Spark, Dremio, and Superset to move and analyze data.
Explains why Dremio is a top platform for Apache Iceberg lakehouses, highlighting features like dataset promotion and data reflections.
Explores 10 reasons to adopt Apache Iceberg and Dremio for building a modern, flexible, and cost-effective data lakehouse architecture.
Explains the data lakehouse architecture and the roles of Apache Iceberg, Nessie, and Dremio in modern data management.
