Jason Hughes is the Director of Technical Advocacy at Dremio. Previously at Dremio, he’s been a Product Director, Technical Director and a Senior Solutions Architect. He’s been working in technology and data for over a decade, including roles as tech lead for the field at Dremio, the pre-sales and post-sales lead for Presto and QueryGrid for the Americas at Teradata, and leading the development, deployment, and management of a custom CRM system for multiple auto dealerships. He is passionate about making customers and individuals successful and self-sufficient. When he’s not working, he’s usually taking his dog to the dog park, playing hockey, or cooking (when he feels like it). He lives in San Diego, California.
That’s a wrap on Subsurface LIVE 2023! I personally had a blast meeting and hanging out with folks in person in San Francisco, and I know my colleagues did as well in New York and London – not to forget the folks attending virtually (all 7,096 of you!). We were glad to see so many […]
In-Memory Analytics with Apache Arrow starts with the foundational basics and dives progressively deeper into the areas needed to understand and effectively use the technology.
Use Dremio to run select, create, insert, delete, update, and merge commands directly on your Apache Iceberg tables. Do all your work in one place!
With Subsurface LIVE Winter 2022 over, we reflect on the event with stats, highlights, and look forward to what’s next for Subsurface.
Today, we’re excited to announce the Dremio 20.0 release! This month’s release introduces major enhancements across the platform, including extensive audit logging, support for Apache Iceberg tables that use the AWS Glue catalog, Apache Ranger row filter and column masking support, and SSO support in Power BI for Azure AD. Extensive Audit Logging Every organization […]
If you prefer videos over written text, here’s a recording of a presentation of this content Introduction Data lakes have been built with a desire to democratize data — to allow more and more people, tools, and applications to make use of more and more data. A key capability needed to achieve this is hiding the […]
If you prefer videos over written text, here’s a recording of a presentation of this content Introduction Data lakes have been built with a desire to democratize data — to allow more and more people, tools, and applications to make use of more and more data. A key capability needed to achieve this is hiding the […]
Introduction Every organization strives to be data-driven and enable their data consumers to make evidence-based decisions in order to answer important business questions. Further, as the amount of data, questions and data consumers grow, the only way for an organization to become and/ or stay data-driven is to provide these capabilities in a self-service manner. […]
