Analytics Accelerator learning resources v1.3

Use this guide to navigate all documentation for the Analytics Accelerator (PGAA), built on Postgres®. Whether you want to understand core concepts, follow step-by-step tutorials, solve specific problems, or explore how analytics applies to your role, this guide helps you find the right resources.

Hub quick links: Analytics HubConceptsHow-Tos

The documentation is structured to help you learn effectively and find information efficiently.

Documentation categories

Structured learning paths

Follow structured learning paths to progress from foundational concepts to advanced implementations.

Explore learning paths: Analytics Accelerator learning paths

Conceptual explanations

Build foundational knowledge of analytics principles, modern data architectures, and Analytics Accelerator technologies and strategies.

Explore: Generic analytics concepts and EDB analytics concepts

Covers generic analytics concepts, the Analytics Accelerator (PGAA) vision, and deep dives into core technologies such as EDB Postgres Lakehouse, Apache Iceberg, Delta Lake, Tiered Tables, and architecture patterns.

How-to guides

Find concise, step-by-step instructions for common tasks related to the Analytics Accelerator.

Explore: Analytics Accelerator how-to guides index

Use cases and solutions

Discover how the Analytics Accelerator addresses business problems and supports architecture patterns across industries.

Explore: Analytics in Hybrid Manager

Persona-based guidance

Access curated information and learning paths tailored to your technical role.

Explore: Analytics Accelerator for your role

Analytics Accelerator in Hybrid Manager (HM)

For users of EDB’s managed services, this section provides documentation on how Analytics Accelerator concepts and technologies are implemented, provisioned, and managed in Hybrid Manager.

Explore: Analytics in Hybrid Manager


Next steps


Use this learning guide to chart your path through the Analytics Accelerator documentation — whether you’re starting with core concepts or going deep on advanced architectures.