Gnarly Data Waves
Episode 61
|
November 19, 2024
Moving Past Hadoop to a Modern Data Platform with Pure Storage & Dremio
Discover how Dremio’s Hybrid Iceberg Lakehouse, paired with Pure Storage’s data platform, empowers your teams to accelerate access to insights, simplify data management, and reduce operational costs. Learn best practices for moving from Hadoop to a modern object storage based lakehouse, unlocking performance gains, simplifying management, and achieving environmental sustainability.
In this session, you’ll discover how Dremio’s Hybrid Iceberg Lakehouse, paired with Pure Storage’s data platform, empowers your teams to accelerate access to insights, simplify data management, and reduce operational costs. Learn best practices for moving from Hadoop to a modern object storage based lakehouse, unlocking performance gains, simplifying management, and achieving environmental sustainability. Key Takeaways:
- Streamlined Data Insight & Seamless Transition: See how Dremio’s ability to access and query data in both HDFS and S3 provides a seamless path to a modern lakehouse.
- Scalable Performance: Learn how the joint Dremio and Pure solution enables you to start small and scale as needed, reducing transition risks while improving query performance and system efficiency.
- Operational Efficiency: Explore how advanced data management, reduced data movement, and a modern Iceberg data catalog enable faster, cost-effective analytics.
- Sustainability and Simplicity: Discover the environmental and management benefits of a modern, architecture with reduced hardware demands and lower carbon footprints.
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Speakers
Mark Shainman
Mark Shainman is a Principal Product Marketing Manager for Dremio. He has spent more than 20-years working in both the analytics as well as privacy, governance, and security space. He has worked with numerous data products and on numerous initiatives, including database migrations, data warehousing, big data, SQL on Hadoop, data lakes, federated query access, data cataloging, privacy compliance and, now, the data lakehouse.
Chad Hendren
No Bio Avaiable