Episode 56
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September 10, 2024
Discover the new Dremio capabilities designed to make your Apache Iceberg data lakehouse the most efficient, scalable, and manageable platform for analytics and AI. We’ll cover enhancements in performance, data ingestion, data processing, and federated query capabilities, aimed at helping you achieve the fastest, most scalable, and easiest to use lakehouse for all of your data.
Dremio unveiled new features in our latest release that enhance the creation, performance, and management of Apache Iceberg data lakehouses.
You will learn how Dremio delivers market-leading SQL query and write performance, improved federated query security and management as well as streamlined data ingestion by delivering:
– Live Reflections on Iceberg tables that will accelerate performance, ensure up-to-date data and reduce management overhead.
– Result Set Caching that can accelerate query performance up to 28X – Merge-on-Read that can enhance write and ingestion speed
– Auto Ingest Pipes that eliminate complex pipeline setup and maintenance
– User Impersonation for federated queries that allows for granular permissions, better access control, and user workload tracking
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Maeve Donovan
No Bio Available
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.
Will Martin, EMA Evangelist at Dremio, is a guest speaker on the EM360 Don’t Panic It’s Just Data podcast, where he shares unfiltered insights on Agentic AI, the power of open data strategies, and what it really takes to build scalable, future-ready infrastructure.
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