The Dremio Blog

Dremio 4.5 delivers faster metadata performance, simplified query troubleshooting and much more!

Dremio's VP of Customer Success - Ohad Almog - shares the reason why he joined Dremio.

Dremio's VP of People - Colleen Blake - shares the reason why she joined Dremio.

I joined Dremio to become part of an amazing team that will empower enterprises to harness data for faster insights in a cost-effective and compliant way.

Dremio AWS Edition allows you to kick your data lake analytics initiatives into high gear, dramatically improve the productivity of your data engineering teams, and save money while you’re at it.

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.

In this article, we explore how Kafka can be used for the storing of data and as a data loss prevention tool for streaming applications.

In this article, we will demonstrate how Kafka can be used to collect metrics on data lake storage like Amazon S3 from a web application.

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.

Earlier today we issued a press release announcing the completion of our Series C fundraise. For startups, fundraises are typically meaningful events; this one will always be special due to the global situation that surrounds us.

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."

Cloud data lakes are much more scalable and cost-efficient than data warehouses, but to become pervasive and applicable to both technical and non-technical users, new approaches are required.

The current English Football season has been temporarily interrupted by COVID-19, in this article we analyze the current data to predict the possible champion.