Analytics Accelerator Learning Paths ==================================== Use these learning paths to build knowledge progressively — from foundational concepts to advanced implementations and optimization techniques. How to use these learning paths ------------------------------- Select the level that matches your current knowledge and goals. Each level links to curated guides with conceptual explanations, how-to articles, and practical tutorials. For advanced topics and certification, explore official EDB training programs. ``---`` Learning path levels -------------------- Level 101: Foundations of the Analytics Accelerator ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ **Target audience:** Users new to the Analytics Accelerator, those new to modern data analytics concepts, or users seeking a refresher. **Focus:** Core ideas, key terminology, the Analytics Accelerator landscape, and reasons behind analytical approaches. **What you will learn:** - Fundamental concepts of data warehouses, data lakes, and the lakehouse paradigm - Key terms such as columnar storage, vectorized query engines, and open table formats (Apache Iceberg, Delta Lake) - Overview of the Analytics Accelerator vision with Postgres and core solutions such as EDB Postgres Lakehouse - Benefits of separating storage and compute for analytics **Start here:** :ref:`Analytics Generic Concepts ` ``---`` Level 201: Applying the Analytics Accelerator — core technologies and use cases ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ **Target audience:** Users with foundational knowledge ready to apply core technologies practically. Suitable for DBAs, data engineers, and developers. **Focus:** Hands-on use of EDB Postgres Lakehouse, PGD analytics (including Tiered Tables), and Iceberg/Delta Lake integration. Basic use cases and configurations. **What you will learn:** - Set up and query EDB Postgres Lakehouse clusters - Work with Apache Iceberg and Delta Lake tables - Implement basic Tiered Table configurations using EDB Postgres Distributed (PGD) - Connect BI tools to the Analytics Accelerator - Apply analytics to BI reporting, historical data analysis, and operational analytics **Continue your journey:** :ref:`Analytics Accelerator Concepts ` + :ref:`How-to guides ` ``---`` Level 301: Advanced Analytics Accelerator, optimization, and architecture ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ **Target audience:** Experienced users, architects, and senior engineers. **Focus:** Advanced features, performance tuning, complex architectures, scalability, security, and troubleshooting. **What you will learn:** - Advanced configuration of EDB Postgres Lakehouse, PGAA, and PGFS - Performance tuning for vectorized queries and object storage access - Design and implement complex Tiered Table strategies with PGD for optimal cost and performance - Manage advanced Iceberg catalogs and integrate third-party catalogs - Architect solutions combining the Analytics Accelerator with other data frameworks (Spark, streaming platforms) - Troubleshoot complex analytical query performance and data pipelines - Apply security best practices for analytical environments **Advance your expertise:** See :ref:`Analytics Accelerator Architecture ` and :ref:`PGAA functions reference ` ``---`` EDB training and certification ------------------------------ For expert-led instruction and official certification, explore EDB’s training programs and certifications. - :ref:`Analytics Accelerator Learning Paths ` *(Coming soon)* - :ref:`Analytics Accelerator Learning Paths ` *(Coming soon)* ``---`` Additional guidance ------------------- - **Role-based guidance:** See :ref:`Analytics Accelerator for your role a persona-based guide ` for resources tailored to your job function. - **Solution-oriented examples:** Visit :ref:`Analytics in Hybrid Manager ` for real-world examples. ``---`` Next steps ---------- - Build your foundation with :ref:`Analytics Generic Concepts ` - Learn EDB’s approach in :ref:`Analytics Accelerator Concepts ` - Apply your knowledge with :ref:`How-to guides ` - Explore industry applications via :ref:`Analytics in Hybrid Manager ` Use these learning paths to progress your Analytics Accelerator expertise — from foundational knowledge to advanced optimization and architecture.