# Pentaho Data Catalog ..
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The workshops are currently being updated for the 10.2.8 release ..
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## Introduction
Pentaho Data Catalog serves as a comprehensive metadata management solution that helps organizations document, organize, and understand their data assets. It provides a centralized repository where data professionals can discover, understand, and govern data across the enterprise.
One of the primary use cases for Pentaho Data Catalog is data discovery and lineage tracking. Organizations with complex data ecosystems can use it to map relationships between different data sources, transformations, and outputs. This capability is particularly valuable for regulatory compliance, as it enables teams to trace how sensitive data moves through systems and who has access to it.
Another key application is business glossary management, where Pentaho Data Catalog helps bridge the gap between technical metadata and business terminology. This creates a common language across the organization, allowing business users to find and understand relevant data without requiring deep technical knowledge of underlying systems. For data governance initiatives, this capability ensures consistent definitions and usage of critical business terms.
Pentaho Data Catalog also supports impact analysis, helping teams understand how changes to data sources might affect downstream reports and applications. This proactive approach to change management reduces the risk of disruptions when modifying databases, ETL processes, or reporting structures.
These series of workshops introduce Pentaho Data Catalog and its capabilities to manage both structured and unstructured data efficiently. Through a combination of automated processes and machine learning, the workshops will guide you through the essential functions of data ingestion, profiling, and curation of multiple data sources.
By the end of the workshops, you will have a comprehensive understanding of:
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Key Concepts & Terminology
Familiarize yourself with the foundational terminology and concepts used within the Pentaho Data Catalog environment.
Connecting to various Data Sources
Learn how to establish [connections](https://academy.pentaho.com/pentaho-data-catalog-en/data-catalog/data-discovery/connect-aw-database/other-data-sources) to a wide range of data sources to enable [data ingestion](https://academy.pentaho.com/pentaho-data-catalog-en/data-catalog/data-discovery/connect-aw-database/other-data-sources#id-1.1-ingest-metadata).
Ingesting & Profiling Data
Discover the methods used for ingesting and how [profiling](https://academy.pentaho.com/pentaho-data-catalog-en/overview/broken-reference) assists in understanding your data's structure and quality.
Business Glossary & Terms
Understand the significance of maintaining a [business glossary](https://academy.pentaho.com/pentaho-data-catalog-en/overview/broken-reference) and how it aids in aligning data with business terminology.
Rules
Explore how metadata rules are applied to data within the Pentaho Data Catalog to ensure consistency and relevance.
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#### **Prerequisites**
* Basic SQL knowledge
* Familiarity with AdventureWorks2022 database schema
* Access to Pentaho Data Catalog with JDBC connection to AdventureWorks2022
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#### Overview
Take a look at the following walkthrough to get the best experience ..
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