The Dremio Blog

This tutorial presents a notebook guide to quickly get started with Apache Iceberg & Nessie using PySpark

Dremio now offers the capability to both query and manipulate data stored in Apache Iceberg table format. In this blog, we’ll show how Dremio can be used to create and amend Iceberg datasets. Then we’ll take a look at how we can step back in time in order to examine the state of the table at earlier points in time.

In this blog, learn how Dremio helps end users analyze massive datasets in their semantic layer without sacrificing speed or ease of use.

Why does adopting a data lakehouse table format like Apache Iceberg matter and how it solves issues like data drift, costs, and more.

A semantic layer is a business representation of corporate data for your end users.

This blog looks at the evolution of the Apache Arrow project over the years from the time it was co-created by Dremio.

Dremio continues its open source impact with the contribution of the Arrow Flight SQL JDBC driver to the Apache Arrow community.

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.