Casey Karst is a Principal Product Manager at Dremio. While new to Open Data Lakehouses, he is not new to data. Casey started his career at Microsoft working on Azure SQL DB; delightfully naive of the enormity of the cloud paradigm shift that was occurring around him. After that experience, Casey proceeded to work on SQL Server 2019, MSFT Analytics Platform Service, Azure SQL DW, and Azure Synapse before leaving Microsoft to spend time at Splunk and RelationalAI. Now Casey is back home once again helping users deliver business value with their data via … SQL.
Unlocking Effortless Data Organization with Dremio’s Iceberg Clustering Organizations today face significant challenges optimizing their data lakes for performance while minimizing engineering overhead. That’s why Dremio is excited to introduce Iceberg Clustering, a powerful capability that intelligently optimizes the data layout in your Apache Iceberg lakehouse.. With Iceberg Clustering, Dremio automatically reorganizes data within partitions, […]
Breaking Down Barriers Between Streaming Data and Analytics Dremio is proud to be a launch partner for Tableflow, Confluent’s newest innovation that seamlessly transforms Apache Kafka streams into Apache Iceberg tables. This integration eliminates the complexity of making real-time operational data instantly available for analytics via Apache Iceberg tables – without the need for brittle […]
The beauty of Iceberg REST Spec is that it provides a stable interoperability interface for Iceberg clients. For Dremio users, this means that they can get access to Iceberg data where it lives rather than having to build and maintain complex ETL pipelines which increase governance challenges, data latency and operational overhead. To further our […]
Learn more about Apache Polaris by downloading a free early release copy of Apache Polaris: The Definitive Guide along with learning about Dremio’s Enterprise Catalog powered by Apache Polaris. Analysts demand tools that offer fast, flexible, and scalable access to data. Interoperability between data platforms is crucial to enable seamless data exploration and querying, without […]
We are thrilled to announce the Public Preview of AutoIngest Pipes, a new way to load data into Iceberg tables designed to simplify the development and management of your data loading pipelines. In today’s data driven world, the need for efficient, reliable, and scalable data ingestion has never been more critical. Auto Ingest Pipes is […]
