Gnarly Data Waves

Episode 13

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April 18, 2023

Making the Move: Five Factors to Consider When Migrating from Hadoop to the Data Lakehouse

Join Donald Farmer, Principal at TreeHive Strategy, and Tony Truong, Senior Product Marketing Manager at Dremio, as they discuss the five key considerations that organizations should take into account when migrating from Hadoop to the data lakehouse.

Topics Covered

Data lakehouse

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Speakers

Donald Farmer

Donald Farmer

Scottish but based in Washington State, snuggled in the hills outside Seattle with my extraordinary creative darling, my unbearably cute cat and a magnificent treehouse.

For years, I imagined and designed software products for working with data. For years, I cajoled, harangued, persuaded and begged smarter people than me to build them. I have done this in startups, at Microsoft, at Qlik Technologies, with some success thanks to those smarter people.

Now I teach workshops, mentor executives and I write, especially about innovation and strategy. I work with some of the world’s largest software companies, but also with the newest of startups. I mentor teams from Kathmandu to California, from Reykjavik to Rwanda and not just working in software: robotic surgery, fashion, shampoo, restaurants, farms …

I’d love to hear from you and you can contact me here.

Tony Truong

Tony Truong

Tony Truong is a Sr. Product Marketing Manager for Dremio. He has experience building go-to-market strategies that drive product adoption and solutions offerings across various industries.

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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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Webinars

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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