Gnarly Data Waves

Special Edition

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November 12, 2024

An In-Depth Exploration on the World of Data Lakehouse Catalogs (Iceberg, Polaris, Nessie, Unity, etc.) – What are Data Lakehouse Catalogs?

Watch our kickoff session to explore how catalogs like Nessie, Polaris, and Unity drive data versioning, governance, and optimization in modern data ecosystems. Gain insights into choosing the right catalog to elevate your data management strategy.

In this kickoff session, we dive deep into the pivotal role data lakehouse catalogs play in modern data ecosystems. We’ll explore how catalogs like Nessie, Polaris, and Unity provide essential support for data versioning, governance, and optimization. This episode will lay the foundation for understanding why catalogs are becoming central to data lakehouse strategies and will examine key use cases for implementing them effectively. Whether you’re a data engineer, architect, or IT leader, join us to gain insights on selecting the right catalog solutions to meet your data management needs.

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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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