Updated README.md

Added public links

Author: alexandruporcescu

data-platform/data-integration/oci-data-catalog/README.md

@@ -4,7 +4,7 @@ Data Catalog is a metadata management service that helps data consumers discover
 
 With OCI Data Catalog, data analysts, data scientists, data engineers, and data stewards have a single self-service environment to discover the data that is available in the cloud sources. Data Catalog helps data providers create a data dictionary comprising technical and business metadata. Data consumers can easily assess the suitability of data for analytics and data science projects.
 
-Reviewed: 24.04.2024
+Reviewed: 28.02.2025
 
 # Useful Links
 
@@ -23,10 +23,51 @@ Reviewed: 24.04.2024
 - [Public Product Page](https://www.oracle.com/be/big-data/data-catalog/what-is-a-data-catalog/)
     - High-level product and capability description
 
+- [Get Data Catalog data using DBMS_DCAT](https://medium.com/@aporcescu/get-data-catalog-data-using-dbms-dcat-5a16d637aea0)
+    - This blog explains how to query harvested information by Data Catalog from Autonomous Database
+  
+- [Why Data Lakes Need a Data Catalog](https://blogs.oracle.com/bigdata/post/why-data-lakes-need-a-data-catalog)
+    - Understand what is Data Lake. What is Data Catalog and Why to use a Data Catalog in Data Lakes with real use-case scenarios
+
+- [Better Collaboration Using Improved Metadata Curation, Search and Discovery for Data Lakes with OCI Data Catalog](https://blogs.oracle.com/dataintegration/post/better-collaboration-using-improved-metadata-curation-search-and-discovery-for-data-lakes-with-oracle-cloud-infrastructure-data-catalogs-new-release)
+    - New functionality of OCI Data Catalog: Improved metadata curation, searh capability, discover data sources in OCI
+  
+ - [Enrich Metadata with Oracle Cloud Infrastructure Data Catalog](https://blogs.oracle.com/dataintegration/post/enrich-metadata-with-oracle-cloud-infrastructure-data-catalog)
+     - This blog shows how custom properties in Oracle Cloud Infrastructure Data Catalog enhance data discovery by providing business context, allowing users to search, filter, and understand data more effectively
+   
+ - [Building Meaningful Catalogs For Data Lakes](https://blogs.oracle.com/dataintegration/post/building-meaningful-catalogs-for-data-lakes)
+     - Oracle Cloud Infrastructure Data Catalog enhances data management in data lakes by efficiently harvesting metadata, organizing related files, and facilitating search and exploration, ultimately improving analytics applications
+   
+ - [OCI Data Catalog release introduces AI and ML-based features for better productivity](https://blogs.oracle.com/cloud-infrastructure/post/new-oci-data-catalog-release-introduces-ai-and-ml-based-features-for-better-productivity)
+     - Oracle Cloud Infrastructure Data Catalog introduces new AI and ML capabilities, enhancing data discovery and governance through automated harvesting, business glossaries, and integration with other OCI services
+
+ - [Fast-track data discovery with new release of Oracle Cloud Infrastructure Data Catalog](https://blogs.oracle.com/cloud-infrastructure/post/fast-track-data-discovery-with-new-release-of-oci-data-catalog)
+     - This blog highlights how Oracle Cloud Infrastructure Data Catalog's new AI and ML capabilities enhance data discovery by providing business context, allowing users to search, filter, and understand data more effectively through automated harvesting and integration with other OCI services
+
+ - [Fast-track data discovery with new release of Oracle Cloud Infrastructure Data Catalog](https://blogs.oracle.com/cloud-infrastructure/post/fast-track-data-discovery-with-new-release-of-oci-data-catalog)
+     - This blog shows how Oracle Cloud Infrastructure Data Catalog's new AI and ML capabilities enhance data discovery by automating metadata management and integration
+
+- [Manage your business glossary better with the latest release of the OCI Data Catalog](https://blogs.oracle.com/cloud-infrastructure/post/manage-your-business-glossary-better-with-the-latest-release-of-the-oci-data-catalog)
+    - New functionality of OCI Data Catalog: Enhanced business glossary management with improved automation and integration capabilities
+ 
+- [Harvest Metadata from On-Premise and Cloud Sources with a Data Catalog](https://blogs.oracle.com/dataintegration/post/harvest-metadata-from-on-premise-and-cloud-sources-with-data-catalog)
+  - Harvest metadata from on-premise and cloud sources with OCI Data Catalog, enabling efficient data discovery and governance across various data assets
+ 
+- [Using AI and ML to enrich metadata in Oracle Cloud Infrastructure Data Catalog](https://blogs.oracle.com/dataintegration/post/using-ai-and-ml-to-enrich-metadata-in-data-catalog)
+  - OCI Data Catalog enriches metadata by combining technical and business data, using features like business glossary links, custom properties, and tags to facilitate data discovery and reduce manual linking efforts
+
+- [What is Oracle Cloud Infrastructure Data Catalog?](https://blogs.oracle.com/cloud-infrastructure/post/what-is-oci-data-catalog)
+  - This blog post introduces Oracle Cloud Infrastructure Data Catalog as a metadata management service that helps discover trusted data and improve data governance
+ 
+- [Get faster insights from data lakes with the new release of OCI Data Catalog](https://blogs.oracle.com/cloud-infrastructure/post/get-faster-insights-from-data-lakes-with-the-new-release-of-oci-data-catalog)
+  - New release of OCI Data Catalog, highlighting features designed to help users gain faster insights from data lakes
+
+- [Improving user collaboration using OCI Data Flow and Data Catalog Metastore](https://blogs.oracle.com/cloud-infrastructure/post/improving-user-collaboration-using-oci-data-flow-and-data-catalog-metastore)
+  - Enhance collaboration using OCI Data Flow and Data Catalog Metastore by streamlining data discovery and reuse across Apache Spark workloads and data lakes
 
 # License
 
-Copyright (c) 2024 Oracle and/or its affiliates.
+Copyright (c) 2025 Oracle and/or its affiliates.
 
 Licensed under the Universal Permissive License (UPL), Version 1.0.