The Apache Iceberg Advantage
An in-depth review of Apache Iceberg, an open table format for enterprise data lakes.
read moreEpisode 41
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December 5, 2023
Join us for an enlightening talk on "ZeroETL & Virtual Data Marts: The Cutting Edge of Lakehouse Architecture." In this session, we'll explore the pains of data engineering, unveil innovative solutions, and guide you through practical implementation with tools like Dremio and DBT. Transform your data landscape!
Embark on a transformative journey with our insightful presentation, “ZeroETL & Virtual Data Marts: The Cutting Edge of Lakehouse Architecture.” In this engaging session, we’ll delve into the intricacies of modern data engineering and how it has evolved to address key pain points in the realm of data processing.
Our presentation illuminates the challenges data engineers face, from the complexities of backfilling and brittle pipelines to the frustration of sluggish data delivery. We’ll introduce you to the high-impact concepts of ZeroETL and Virtual Data Marts, demonstrating how these innovative patterns can dramatically alleviate these common pains. By reducing the need for manual data movement and preparation pipelines, you’ll discover a more efficient, agile, and responsive data ecosystem.
Join us for a practical guide to implementing these transformative patterns. We’ll walk you through the steps to bring the power of ZeroETL and Virtual Data Marts into your own data landscape. Leveraging cutting-edge tools like Dremio, DBT, and more, you’ll gain hands-on experience in designing and deploying these patterns to streamline your data workflows and supercharge your analytics capabilities.
Don’t miss this opportunity to stay at the forefront of data architecture, enabling your organization to harness data’s full potential while reducing complexity and overhead. Join us for an exploration of the future of data engineering – a future where ZeroETL and Virtual Data Marts pave the way for data agility, speed, and innovation.
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An in-depth review of Apache Iceberg, an open table format for enterprise data lakes.
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