Gnarly Data Waves
Episode 1
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January 10, 2023
Getting Started with Dremio’s Data Lakehouse
Every organization is working to empower their business users with data and insights, but data is siloed, hard to discover, and slow to access. With Dremio, data teams can easily connect to all of their data sources, define and expose the data through a business-friendly user experience, and deliver sub-second queries with our query acceleration technologies.
Topics Covered
Apache Iceberg
Data lakehouse
Query Acceleration
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Speakers
Read Maloney
Read is a cloud, data, and AI marketing executive, with a history of building and leading high-growth marketing teams at AWS, Oracle, and H2O.ai. Most recently at H2O.ai, he served as the SVP of Marketing, leading all elements of marketing for the late-stage startup. Prior to working in the technology industry, Read was a Captain in the United States Marine Corps, serving two tours of duty as a Platoon Commander in Iraq. Read holds a Bachelor’s Degree in Mechanical Engineering from Duke University and an M.B.A from the Foster School of Business at the University of Washington.
Brock Griffey
Brock Griffrey has over 10 years of experience leading projects in the big data space. As a Master Principal Solution Architect, he is helping customers build efficient data solutions with the open data lakehouse.
Ready to Get Started? Here Are Some Resources to Help
Guides
What Is a Data Lakehouse?
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.
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Whitepaper
Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse
The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.
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