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Episode 18

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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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Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

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Dremio Upgrade Testing Framework

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Operating Dremio Cloud Runbook

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Bring your users closer to the data with organization-wide self-service analytics and lakehouse flexibility, scalability, and performance at a fraction of the cost. Run Dremio anywhere with self-managed software or Dremio Cloud.