How to Use Kubernetes to Build a Data Lake for AI Workloads

Discover how to leverage Kubernetes to construct a data lake for AI workloads in this informative conference talk. Explore the challenges of hybrid cloud architectures and learn a new approach to building cloud-agnostic data lakes that can operate across public and private cloud data centers. Gain insights into using open-source tools like Rook, Ceph, Hive metastore, Spark, and Presto on Kubernetes to provide unified access to massive amounts of data across multiple data centers. Understand how this flexible data architecture simplifies the creation of intelligent applications for data scientists and developers while addressing the needs of organizations with traditional data lakes.

How to Use Kubernetes to Build a Data Lake for AI Workloads - Peter MacKinnon & Uday Boppana