Gnarly Data Waves

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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It’s Time To Consider a Hybrid Lakehouse Strategy

Discover the power of the hybrid lakehouse! Join data expert David Loshin to explore how this strategy combines the scalability of data lakes with the performance of data warehouses, enabling flexibility and future-proofing your data ecosystem.

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Mastering Dremio’s Well-Architected Framework: Overview & Security: Overview and Security

Learn best practices for creating sustainable data architectures that emphasize efficiency and long-term maintainability. Discover strategies for optimizing workflows while exploring core design principles like security, cost optimization, and operational excellence. Ideal for professionals looking to enhance their data architecture skills!

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AI-Ready Data with Data Products

As AI adoption rises, data quality and reliability are crucial. This presentation shows how treating data as a product—with clear ownership, quality standards, and governance—ensures AI readiness. Discover practical strategies to overcome challenges like accessibility and governance, turning data into a strategic asset for AI innovation.

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Enable the business to create and consume data products powered by Apache Iceberg, accelerating AI and analytics initiatives and dramatically reducing costs.