The Dremio Blog

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.

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.