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 Product Marketing Director for Apache Iceberg and data lakehouse management. He is responsible for evangelizing the value of open table formats, Data as Code, and Dremio as the Iceberg data lakehouse provider. He joined Dremio as a Partner Solution Marketing Director in February 2022. 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.
Ready to Get Started? Here Are Some Resources to Help
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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