The Dremio Blog

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.

In this post, I’ll describe how you can use Dremio with temporal tables to read historical data.

Learn how to use Slack bots and Dremio to query data directly from your data lake.

In part I of this two-part series blog, we walk you through an example offloading Oracle TPC-DS sample queries from an existing Oracle overloaded database to both improve query response times and number of concurrent queries.

By creating new features, we can fine tune models and enhance their accuracy. Learn how to engineer features on your data lake using Dremio.

Learn how to implement security on your data lake using data-driven permissions using Dremio.

Learn how to setup Dremio to leverage Hive 3 transaction data for highly performant queries with low data latencies.

Accelerate time to insight with Dremio’s DynamoDB ARP Connector

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