The Dremio Blog

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.

PyDremio - This project caters to devops/admins with a pythonic abstraction of all of Dremio’s REST endpoints, making scripting things like production deployments, security management, and audit easier.

Data lake security is a crucial part to your business data integrity. We will cover everything you need to know on how to implement, maintain, and leverage security features for your data.

COVID-19 Open Letter To Customers.

Updating S3 data can be challenging, fortunately there is a solution. In this article we explore how to update your S3 data while minimizing data lake downtime.

Welcoming Billy Bosworth as Dremio’s new CEO.