The Dremio Blog

Dremio's unwavering commitment to Apache Iceberg is not merely a strategic choice but a reflection of our vision to create an open, flexible, and high-performing data ecosystem. Our deep integration with Apache Iceberg throughout the entire stack complements Dremio's extensive functionality, empowering users to document, organize, and govern their data across diverse sources, including data lakes,  data warehouses, relational databases and NoSQL tables. This synergy forms the bedrock of our open platform philosophy, facilitating seamless data accessibility and distribution across the organization.

At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. With these principles in mind, we feel it's crucial to alert you to a concerning trend involving fraudulent job offers falsely attributed to Dremio and its affiliated entities. Scammers are exploiting our name, […]

Dremio enables directly serving BI dashboards from MongoDB or leveraging Apache Iceberg tables in your data lake. This post will explore how Dremio's data lakehouse platform simplifies your data delivery for business intelligence by doing a prototype version that can run on your laptop.

Dremio enables direct serving of BI dashboards from SQLServer or leveraging Apache Iceberg tables in your data lake. This post will explore how Dremio's data lakehouse platform simplifies your data delivery for business intelligence by doing a prototype version that can run on your laptop.

Business Intelligence (BI) dashboards are invaluable tools that aggregate, visualize, and analyze data to provide actionable insights and support data-driven decision-making. Serving these dashboards directly from the data lake, especially with technologies like Apache Iceberg, offers immense benefits, including real-time data access, cost-efficiency, and the elimination of data silos. Dremio as a data lakehouse platform, […]

Moving data from source systems like Postgres to a dashboard traditionally involves a multi-step process: transferring data to a data lake, moving it into a data warehouse, and then building BI extracts and cubes for acceleration. This process can be tedious and costly. However, this entire workflow is simplified with Dremio, the Data Lakehouse Platform.

The allure of the data lakehouse architecture, particularly with the Apache Iceberg table format, lies in its ability to be utilized across various systems, eliminating the need for expensive data movement and migration planning. In this article, we will explore how Apache Iceberg tables are employed within Dremio—a data lakehouse platform that serves as a […]

Dremio Cloud on Microsoft Azure brings your users closer to the data with lakehouse flexibility, scalability, and performance at a fraction of the cost of traditional data warehouses. With the availability of Dremio Cloud on Azure, companies can now take full advantage of a next-generation analytical architecture that eliminates traditional software management pain and drives […]

In today's data-driven world, organizations are increasingly relying on data analytics platforms to derive valuable insights from their data. Increasingly, organizations are battling to cope with the diversity of their data estate and enforcing access and privacy controls consistently. A powerful solution is coming from two popular platforms in this space which are Dremio, known […]

Subsurface provides an excellent opportunity to learn more about the Data Lakehouse space. Still, for fans of Apache Iceberg, there will be a lot of content to keep you learning and interested. Register for Subsurface today.

By enabling efficient, real-time analytics directly from data lakes, Dremio provides organizations with the tools they need to navigate the complexities of big data, derive actionable insights, and maintain a competitive edge in the digital age.

Choosing the right versioning solution involves considering your organization's specific data management needs, existing infrastructure, and the desired level of granularity for version control. Whether you prioritize the flexibility of file-level versioning with LakeFS, the seamless table-level versioning of Apache Iceberg, or the comprehensive catalog-level versioning offered by Nessie, each system presents a pathway to more efficient, reliable, and manageable data operations.

Tabular and Dremio have received approval from the Apache Iceberg Project Management Committee to organize the inaugural Iceberg Summit, a free-to-attend virtual event to be held May 14 - 15, 2024. Iceberg Summit is an Apache Software Foundation (ASF) sanctioned event. Those wishing to attend can register here. Your information will only be used for […]

Learn how to take advantage of Dremio Arctic’s capability to help monitor data quality, recover from mistakes, and audit data.

Dremio's approach to lakehouse management embodies a forward-thinking solution to the challenges of modern data architecture. By integrating Git-for-Data concepts, automating Apache Iceberg table maintenance, and providing an easy-to-use UI for monitoring data catalogs, Dremio not only simplifies data management but also empowers organizations to harness their data for strategic advantage.