The Dremio Blog

Innovative data science, and the data volumes and varieties it requires, find a natural home in the data lake. But the latest generation of cloud-native data lakes also hosts a rising share of mainstream business intelligence (BI) projects.

In this blog, I’ll review classic solutions for collecting and consuming data, how things have changed, and how Dremio can work directly with your data with lightning-fast query speeds.

It’s 2020, and almost every organization is facing a paradox. On one hand, data is an integral part of the business, and analytics has become a strategic priority - a "must-have."

These are the keystone elements that you need to keep in mind to successfully approach a migration to the cloud data lake.

Arrow Flight provides a high-performance wire protocol for large-volume data transfer for analytics. Dive in to learn more.

In this article we cover all the best practices to building a modern data platform on the cloud.

In this article we show you everything you need to know to move your data to the cloud. Options, advantages, and much more.

In fact, the article has been submitted 4 times, not just by me but also by others, and declined each and every time.

This is the second article in the series of building a Modern Data Platform.

If you Google 'modern data platform' you will get a lot of advertisement. Let’s try to agree on what modern data platform is.

ODBC and JDBC were invented 27 years ago, Apache arrow arrived to bring the best-in-class performance in the big data world.

In-depth technical description of Dremio's Gandiva Initiative for Apache Arrow.

Apache Arrow was announced as a top level Apache project on Feb 17, 2016. We wanted to give some context regarding the inception of the project, as well as interesting developments as the project has evolved.

We’ve published a new page - What is a Data Warehouse?

We’ve published a new page - ETL Tools Explained