Getting Started with Polaris Catalog and Iceberg Tables

Polaris Catalog is an open-source catalog for Apache Iceberg that maximizes organizations ability to achieve interoperability between different engines, minimizing complexity and storage costs while avoiding vendor lock-in.

In this recorded hands-on tutorial, we will guide you through the essentials of setting up, ingesting, and querying an Iceberg-based lakehouse using Polaris Catalog on Snowflake.

What you will learn:.

– Getting started with Polaris: Learn how to configure Polaris to work with an existing or brand new lakehouse on AWS.

– Ingesting data into Iceberg tables managed by Polaris: Learn how to connect to Polaris and load data from popular sources into Iceberg tables.

– Optimize Iceberg tables cataloged by Polaris: Explore techniques to optimize your Iceberg tables cataloged by Polaris to improve query performance and storage efficiency.

– Manage retention and table hygiene: Learn how to automate table clean up and data retention with Polaris by expiring snapshots and removing orphaned files to maintain a healthy and compliant data lakehouse.

– Observability into Data Quality and Job Performance: See how Iceberg metadata can provide invaluable insights into data quality, table health and optimization effectiveness, enabling your data operations to run smoothly and effectively.