The Microsoft Azure Data Catalog service facilitates big-data analysis projects and the training of data prediction models. The service allows my team to access many categorized big datasets to integrate them into our data analytics workload on the cloud. It enhances our project's findings and helps us discover more accurate data insights.

Azure Data Catalog saves time and effort in finding big datasets that are related, secured, and easy to access and process. The service is fully-managed and provides a rich data assets catalog. It has a cost-effective pricing model and is efficient for big-data analysis and machine learning. It's easy to use for users familiar with the Azure Platform.

There are no critical issues. But usually, the large datasets upload takes more time, and sometimes it's interrupted.

Make data source easily discoverable and get most value out of the existing information and allows easy data enrichment.

Azure Data Catalog makes it easy to discover data from multiple sources and lets user understand the sources with easy data enrichment functionalities.

Never had any issues with Azure Data Catalog. It saves time to get big data and easy on data manipulation.

Azure Data Catalog is a fantastic tool for data discovery and documentation. It provides a centralized repository for metadata, making it easy to search, discover, and understand data assets across an organization. The integration with other Azure services such as Azure Data Factory and Power BI is seamless, allowing for easy data exploration and analysis. The user interface is intuitive and user-friendly, making it easy to navigate and find the information needed.

Overall Azure Data Catalog is great but, it is very limited when it comes to integration with on-premises systems. Azure Data Catalog is primarily designed for cloud-based systems.