Gnarly Data Waves

GDW R1 Diagonal Dev 200ppi

GDW Special Edition 6

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September 3, 2024

An Apache Iceberg Lakehouse Crash Course – Streaming with Apache Iceberg

"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts.

Learn how to optimize Apache Iceberg tables for better performance and cost efficiency. Topics include: – Setting up streaming pipelines with Apache Iceberg. – Real-time data ingestion and processing. – Basics of different solutions like Kafka Connect, Flink and Upsolver

An Apache Iceberg Lakehouse Crash Course is a 10 part web series designed to help you master Apache Iceberg, a powerful tool in the data lakehouse architecture.

Our expert-led sessions will cover a wide range of topics to build your Apache Iceberg expertise.  Each session will offer detailed insights into the architecture and capabilities of Apache Iceberg, along with practical demonstrations.

Whether you’re a data engineer, architect, or analyst, this series will equip you with the knowledge and skills to leverage Apache Iceberg for building scalable, efficient, and high-performance data platforms.

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Advanced Guides

Dremio Architecture Guide

Wondering what Dremio is and how it works? Download the Dremio Architecture Guide to understand Dremio in depth.

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Solution Brief

Modern, Powerful, and Efficient Data Lakehouse Infrastructure with Dremio and Pure Storage

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Webinars

Data Disruptors Podcast: Whoop’s Carlos Peralta on Building a Data-Driven Culture at Whoop and Moderna

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Enable the business to create and consume data products powered by Apache Iceberg, accelerating AI and analytics initiatives and dramatically reducing costs.