Gnarly Data Waves

Episode 10

March 28, 2023

Optimizing Data Files in Apache Iceberg: Performance strategies

Optimized query speed is a must when processing 100s of petabytes of data on the data lake, especially when data grows over time. Join Dremio’s Developer Advocate, Dipankar Mazumdar as he walks through the various performance strategies available in Apache Iceberg.

Topics Covered

Iceberg

Speakers

Dipankar Mazumdar

Dipankar is currently a Developer Advocate at Dremio where his primary focus is advocating data practitioners such as engineers, architects & scientists on Dremio’s lakehouse platform & various open-sourced projects such as Apache Iceberg, Arrow, etc. that helps data teams apply & scale analytics. In his past roles, he worked at the intersection of Machine Learning & Data visualization. Dipankar holds a Masters in Computer Science and his research area is Explainable AI.

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Tanobel Saves 3,000+ Hours Monthly with Dremio’s Intelligent Lakehouse Platform

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Gnarly Data Waves

Optimizing Data Files in Apache Iceberg: Performance strategies

Speakers

Ready to Get Started? Here Are Some Resources to Help

Case Study

Tanobel Saves 3,000+ Hours Monthly with Dremio’s Intelligent Lakehouse Platform

Powering AI-Ready Architectures: Insights from Dresner Advisory Services

Case Study

Healthcare Provider Streamlines Analytics with Dremio’s Intelligent Lakehouse Platform

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