Analytics Accelerator concepts and technologies
===============================================

Use this section to build a clear understanding of the **core
concepts**, **technologies**, **architectural patterns**, and
**strategies** that define the Analytics Accelerator.

This section complements:

- `How-To Guides <https://enterprisedb.com/docs/edb-postgres-ai/hybrid-manager/analytics/learn/how-to/>`_  — for step-by-step tasks 

- :ref:`Analytics Terminology <Analytics Terminology>`  — for key terms used in this space 

For explanations specific to the EDB Hybrid Manager (HM) environment,
see `Analytics in Hybrid Manager <https://enterprisedb.com/docs/edb-postgres-ai/hybrid-manager/analytics>`_  .

.. _analytics-accelerator-concepts-and-technologies-1:

Analytics Accelerator concepts and technologies
===============================================

Foundational analytics and modern data architectures
----------------------------------------------------

Understand the **industry trends** and **architectural patterns** that
shape today’s analytics landscape.

Generic concepts
^^^^^^^^^^^^^^^^

- :ref:`Analytics Accelerator generic concepts <Analytics Accelerator generic concepts>`  

Foundational terms such as data warehouses, data lakes, lakehouse
architecture, columnar storage, vectorized engines, and separation of
storage and compute.

Additional articles (coming soon)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

- The evolution to the data lakehouse

- The significance of open table formats (Iceberg, Delta Lake, Hudi)

- Benefits and trade-offs of columnar vs. row-oriented storage for
  analytics

.. _analytics-accelerator-concepts-and-technologies-2:

Analytics Accelerator concepts and technologies
===============================================

Deep dive into core Analytics Accelerator components
----------------------------------------------------

Learn about the **core components** that enable advanced analytics on
EDB Postgres.

EDB Postgres Lakehouse
^^^^^^^^^^^^^^^^^^^^^^

- EDB Postgres Lakehouse: An overview (coming soon)

- EDB Postgres Lakehouse: Detailed concepts and terminology (coming
  soon)

Open table formats with EDB Postgres
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

- Understanding Apache Iceberg with EDB solutions (coming soon)

- Understanding Delta Lake with EDB solutions (coming soon)

Data management and tiering with EDB Postgres Distributed (PGD)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

- Understanding Tiered Tables with EDB Postgres (coming soon)

Underlying engine components
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

- The role of PGAA and PGFS in EDB’s Lakehouse (coming soon)

- Vectorized query execution with Apache DataFusion in EDB Postgres
  (coming soon)

.. _analytics-accelerator-concepts-and-technologies-3:

Analytics Accelerator concepts and technologies
===============================================

Understanding analytics within EDB Hybrid Manager (HM)
------------------------------------------------------

How EDB’s analytics technologies are **implemented and managed in Hybrid
Manager**.

Key HM analytics documentation entry points
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

- `Analytics in Hybrid Manager <https://enterprisedb.com/docs/edb-postgres-ai/hybrid-manager/analytics>`_  

- `Analytics concepts within Hybrid Manager <https://enterprisedb.com/docs/edb-postgres-ai/hybrid-manager/analytics/learn/analytics_concepts>`_  

--------------

AI/ML workloads and interoperability
------------------------------------

The Analytics Accelerator supports **general-purpose analytics** and can
also serve as a platform component in AI/ML pipelines:

- Lakehouse nodes provide efficient access to large datasets used in
  model training.

- Tiered data patterns and ELT pipelines can stage data for AI/ML
  processing.

For AI/ML-specific concepts, see `AI Factory concepts <https://enterprisedb.com/docs/edb-postgres-ai/ai-factory/learn/explained/ai-factory-concepts>`_  .

.. toctree::
  :maxdepth: 3

  learn--explained--analytics-concepts
  learn--explained--generic-concepts
  learn--explained--terminology