The Dremio Blog

I recently had the pleasure to participate in a DM Radio panel discussing the case for immediate analytics. In this blog I’ll share some of the main points we discussed. It was a wide ranging discussion, so definitely check out the podcast itself.

Learn about the modern cloud technology stack that data architects use in today's digital landscape.

What’s the best measure of success for data pipeline efficiency? This blog charts the rise of business intelligence (BI) on the cloud data lake, explained its appeal from an architectural and performance perspective, and recommended ways to design effective data lakes for BI.

Surrendering data to a data warehouse creates big challenges— locking you into an expensive and proprietary platform and locking you out of innovations from other vendors and the open source community. It’s time to think about an open, modern data architecture based on a cloud data lake.

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.