Learning Analytics in Hybrid Manager#
Use this section to learn how to apply EDB Hybrid Manager (HM) analytics features to your real-world workloads.
Hybrid Manager enables you to manage and operate advanced analytics capabilities across your Postgres deployments, including:
Lakehouse Clusters for high-speed analytical queries on object storage
Apache Iceberg and Delta Lake integration for modern data lake architectures
Tiered Tables for cost-effective management of large time-series data
Unified management of both operational and analytical data through a single control plane
Solving Business Problems#
See common analytics use cases and how to solve them using Hybrid Manager capabilities.
Next topic: Persona-Based Guide to Using Analytics in Hybrid Manager
How-To Guides#
Step-by-step instructions for configuring and using Hybrid Manager analytics features.
Next topic: Analytics Tutorials
Next Steps#
Start by reviewing ** Analytics Concepts in Hybrid Manager ** to understand the core architecture and patterns.
Explore ** Solving Problems ** to match features to your business needs.
Use the ** AI Factory How-To Guides (Hybrid Manager) ** to configure and operate your system.
Continue with the ** Analytics Tutorials ** for deeper hands-on learning.
Explore Further#
- Analytics Concepts in Hybrid Manager
- How-To Guides for Analytics in Hybrid Manager
- Leveraging Analytics in Hybrid Manager
- Solving Business Problems with Analytics in Hybrid Manager