Gnarly Data Waves
Episode 18
|
May 23, 2023
Best Practices for Modernizing Your Hadoop Workloads to AWS with Dremio
Many companies turned to HDFS to address the challenge of storing growing volumes of semistructured and unstructured data, and find themselves with a two-tiered data architecture and siloed data. In this session, learn how to easily and seamlessly modernize with a data lakehouse architecture on AWS while maintaining business continuity for critical analytic workloads.
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Speakers
Jorge Lopez
Jeremiah Morrow
Jeremiah Morrow is the partner solution marketing director for Dremio. He is responsible for supporting all of Dremio’s partner ecosystem, including cloud service providers, technology partners, and channel and systems integrators. Jeremiah joined Dremio in February of this year. Over the past ten years he has worked in partner and industry marketing, analyst relations, sales and business development for a number of companies in the technology industry, including Vertica, OVH, SoftwareONE, and Gartner.
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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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