The Dremio Blog

This blog helps you learn about array functions in Dremio Cloud and Dremio Software v24.2+.

Dremio Reflection Recommender simplifies the creation of Reflections to accelerate BI workloads by streamlining the design process.

Dremio Reflection Refresh automatically selects the fastest and most cost-effective refresh technique depending on table actions.

Dremio, the easy and open lakehouse, delivers analytics at the lowest cost.

Dremio Arctic bring new features to Dremio Cloud, including Apache Iceberg table optimization and Data as Code.

With its capabilities in on-prem to cloud migration, data warehouse offload, data virtualization, upgrading data lakes and lakehouses, and building customer-facing analytics applications, Dremio provides the tools and functionalities to streamline operations and unlock the full potential of data assets.

By implementing these data quality checks, you can trust the accuracy of your data and make reliable decisions based on high-quality information. Data quality is an ongoing process, and these techniques serve as essential tools to ensure the integrity and usefulness of your datasets.

This blog presents how to get started with Flink SQL and Apache Iceberg for streaming analytical workloads.

This tutorial should show you how to work with Flink and Iceberg with a Nessie catalog to configure for your needs.

This month, we’re excited to announce exciting new features to help you enrich, accelerate, and secure your data in Dremio Arctic!

In this blog, learn how Dremio helps end users analyze massive datasets in their semantic layer without sacrificing speed or ease of use.

In today's data-driven world, organizations are constantly seeking innovative tools and technologies to harness the power of their data.

This article has been revised and updated from its original version published in 2022 to reflect the latest Dremio and Apache Iceberg capabilities. JSON is the lingua franca of APIs, event streams, and NoSQL databases, but its nested, schema-on-read nature makes it challenging for analytical queries. Converting JSON data to Apache Iceberg tables flattens nested […]

Apache Iceberg is a data lakehouse table format that has been taking the data world by storm with robust support from tools like Dremio, Fivetran, Airbyte, AWS, Snowflake, Tabular, Presto, Apache Flink, Apache Spark, Trino, and so many more. Although one of the tools most data professionals use is Apache Spark and many introductory tutorials […]

Generative AI can be a powerful tool for data engineers, but it must be used responsibly and effectively.