GDW Special Edition 8
|
October 1, 2024
Watch Alex delve into the versioning features of Apache Iceberg and their benefits. This episode will explain - How versioning works in Apache Iceberg. - Benefits of data versioning for analytics and compliance. - Strategies for managing versions and rollbacks. - Examples of versioning in action.
Watch Alex delve into the versioning features of Apache Iceberg and their benefits. This episode will explain – How versioning works in Apache Iceberg. – Benefits of data versioning for analytics and compliance. – Strategies for managing versions and rollbacks. – Examples of versioning in action.
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.
Watch or listen on your favorite platform
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.
read more
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!
read more
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.
read more
