The Dremio Blog

Learn how to optimize the data files in your Apache Iceberg Table using compaction and its different strategies including z-order.

Today we’re excited to announce the release of the JDBC driver for Apache Arrow Flight SQL, an open source driver that specializes in moving large amounts of data very quickly. This driver benefits Dremio users in terms of performance, efficiency, and time to insight. It allows you to use any JDBC client and connect to […]

A short introduction to the new file format called Puffin in Apache Iceberg that helps with additional table statistics

SSO functionality for Dremio Cloud and Power BI provides granular access control and visibility for data teams.

Tableau’s native connector for Dremio brings the data lakehouse right to the data consumers, enabling high performance Business Intelligence (BI). With the connector, Tableau users have enjoyed increased data access and lightning-fast BI (sub-second queries) directly on data located across data lakes, data warehouses, and databases. Now, with the release of Tableau 2022.3, Tableau and […]

The Apache Iceberg project achieves a milestone with its 1.0 release — with its robust features and stable APIs, it’s never been a better time to adopt Iceberg as your data lakehouse table format.

Dremio and dbt Labs provide a modern data architecture that is built around three core concepts: Built for SQL, Open, and Data-as-Code.

The Apache Iceberg project achieves a milestone with its 1.0 release, bringing API stability guarantees and features like z-order sort optimization and many more.

What happens under the hood with Apache Iceberg when you run a read query.

This blog helps you learn about querying MAP data in Dremio Cloud and Dremio Software v23.0.

Time travel capabilities and privacy laws like GDPR and CCPA are at odds with each other. Here’s how to make sure you’re GDPR/CCPA compliant while using time travel in Apache Iceberg.

Learn how to ingest streaming data from AWS Kinesis into Apache Iceberg Tables using AWS Glue, and then query it with Dremio.

Object Storage can have some potential bottlenecks when it comes to working with big data. Apache Iceberg’s architecture lends to overcoming these challenges for a scalable table format solution for object storage.

Learn the basics of Iceberg’s many features and utilities by trying them out in a Spark sandbox.

This tutorial introduces the Z-order clustering algorithm in Apache Iceberg and explains how it adds value to the file optimization strategy.