
Gnarly Data Waves
Episode 35
|
October 3, 2023
Your Lakehouse Just Got Gnarlier: What’s New in Dremio, including Next Gen Reflections
Learn what’s new in Dremio - and how you can accelerate self-service analytics at scale - including Generative AI text-to-SQL capabilities, even faster analytics and better query performance, our new native Apache Iceberg catalog, Arctic, and more.
Imagine fast, intuitive analytics on all of your data where it lives – with the power of a data warehouse and the scale of a data lake. Dremio’s open data lakehouse makes it easy to access, understand, and analyze all your data with a lightning fast SQL query engine and low-code and no-code options for all users. Learn what’s new in Dremio – including next gen Reflections SQL acceleration – and how you can accelerate self-service analytics at scale.
We’ll talk about:
- Next gen Reflections SQL acceleration and new Reflection Recommender to automatically create Reflections for your most important queries
- New Generative AI capabilities for text-to-SQL and more to make it possible for all users to interact with data
- Expanded table format support, including time-travel for Delta Lake
- Enhancements to our lightning-fast query engine that deliver even faster, more intelligent interactive analytics
- Our native Apache Iceberg lakehouse catalog, Dremio Arctic, now in Preview
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Guides
What is Apache Polaris
Apache Polaris is an open-source catalog service purpose-built for managing Apache Iceberg tables in a distributed, multi-engine environment. At its core, Polaris implements the Iceberg REST Catalog API, providing a standardized, cloud-native method for connecting query engines with Iceberg metadata, without requiring tight coupling to storage systems.
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