The Dremio Blog

Data engineers and data teams have been expected to do the impossible for the past several years. Data and data analytics architectures have changed continuously and drastically over the past few years and decades. Although these architectures have modernized from traditional data warehouses to data lakes and data lakehouse architectures, the remnants of past technologies […]

We’ve curated top videos from past Subsurface events to help you learn more about open source software like Apache Iceberg, Apache Arrow and Project Nessie.

Growing ecosystem adoption has made Apache Iceberg an industry open standard. Learn about recent Iceberg news, top 10 Iceberg influencers, and more.

Learn how companies accelerate queries and time to insight by 30x with modern open data architecture

Read this blog to learn about three major trends that have emerged in the world of data and analytics that IT leaders are actively working on today.

In today’s world of unimaginable data explosion, the 5 severe limitations of data warehouses just do not meet the needs of modern-day apps and user expectations

Read this blog to see some examples of organizations who achieved success with a modern, open data architecture.

Long-time veterans in the data space Billy Bosworth (Dremio CEO) and Ali Ghodsi (Databricks CEO) share their valuable insights on the future of data management.

The openness of the cloud data lake/lakehouse is a key advantage over the data warehouse, and vendors like Snowflake are feeling the pressure.

Data processing is a critical part of the data pipeline. This article explores Apache Spark, Amazon EMR and AWS Glue and how each helps with data processing workloads in the data lake.

Five major trends will emerge in the new year that bring compelling reasons to make modern cloud data lakes the center of gravity for data architectures.

For many years now, the industry has talked about the separation of compute and storage, and for good reason – it was a critical step forward for efficiency. When we were able to separate the compute tier from the storage tier, at least three important things happened.

Cloud migrations present a circuitous and thorny path in the best of circumstances. This blog introduces guidelines for architects and data engineers to plan and execute successful migrations.

Introducing Project Nessie - A Git-like Experience for Your Data Lake.

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.