
GNARLY DATA WAVES EPISODE
Overview of Dremio’s Data Lakehouse
On our 1st episode of Gnarly Data Waves, Read Maloney provides an Overview of Getting Started with Dremio's Data Lakehouse and showcase Dremio Use Cases advantages.
Watch now (27 min)March 1 -2, 2023
Virtual • San Francisco • New York City • London
Keynote Speakers
Engireering Lead and Sr. Architect
Senior Vice President, Global Technology Platforms
CEO and Founder
Founder & CEO
Co-creator of Apache Iceberg, CEO and co-founder
Unified data access, modern and intuitive U/I, semantic layer, and built for SQL.
Based on community-driven standards, including Apache Arrow, Apache Iceberg and Apache Parquet.
Lightning-fast queries, high concurrency, and no expensive data copies to manage.
A SQL query engine with a built-in semantic layer and intuitive user interface. With Dremio Sonar, organizations can quickly access the data they need, query across data sources, create views, and update Apache Iceberg tables with data manipulation language (DML).
Check Out Dremio Sonar Query EngineA data lakehouse management service that enables data teams to manage data-as-code with Git-like operations, optimizes tables automatically, and provides a data catalog. Dremio Arctic makes it easier fo data teams to provide improved governance, data quality, and query performance. With Dremio Arctic, data teams can select their query engine of choice.
Check Out Dremio ArcticDremio partners with hundreds of leading data storage, BI tool, and ETL vendors to provide a comprehensive set of functionality for organizations of any size.
Dremio helps organizations become more data driven with self-service analytics and more efficient by offloading use cases from expensive and proprietary data warehouses to our open data lakehouse. Dremio exceeds the performance and scale requirements of the most demanding and largest enterprises in the world, including 5 of the Fortune 10.
On our 1st episode of Gnarly Data Waves, Read Maloney provides an Overview of Getting Started with Dremio's Data Lakehouse and showcase Dremio Use Cases advantages.
Watch now (27 min)A SQL data lakehouse uses SQL commands to query cloud data lake storage, simplifying data access and governance for both BI and data science.
Learn moreDownload this white paper to get a step-by-step roadmap for adopting Dremio and migrating workloads while maintaining coexistence and interoperability with existing systems and technologies.
Learn moreThe simplest way to try out Dremio.
Best option if your data is on AWS.
Self-managed software for data in Azure, GCP and on-premises.