Azure Data Catalog Blog – Learn how to use it

You may spend more time searching for data in the new data environment than you do analyzing it. Microsoft’s Azure Data Catalog, an enterprise-wide metadata repository that simplifies data asset discovery, is Microsoft’s. It’s a fully managed service that allows data scientists, analysts, and data developers to register, enhance, find new, interpret, and use data sources. Globalization has led to a rise in data usage. As a way to manage these data assets, the Data Catalog is becoming more popular.
What is Azure Data Catalog?
Azure Data Catalog is a single storage location for large data. It’s intended to help developers, data scientists, analysts, and others in discovering, verifying and using datasets provided by the community. The Data Catalog was built using crowdsourced data, metadata, annotations, as well as crowdsourced data. It is meant to let data collectors and consumers share their work.
Any user who has access to Data Catalog can add to the metadata to improve the collection after registering data sources. This includes adding tags, descriptions, access requests processes, and documentation. Any additional metadata can be used to improve the structural information provided by the data source.

Azure Data Catalog Uses
Azure Data Catalog can be used by many customers for many purposes, but the most popular are data centralization (or business intelligence) and Azure Data Catalog.
Central data source registration – As businesses grow, the volume of data they generate can quickly become overwhelming. It becomes more difficult to organize and less useful to have all the data in one place. Registering data in Data Catalog can help organizations ensure that all business units have access to the necessary data. It can also allow companies to benefit from the collective knowledge and efforts made by all their users and analysts. This includes data benefits for online transaction processing (OLTP), analytics databases, data warehouses and line-of business applications.
Research and business intelligence – data sources. Business intelligence (BI), or research, requires the integration of multiple data sources, even those that are not intended for analysis or BI. Data sources scattered can make it difficult for organizations to obtain, standardize, or apply data to their BI goals. Analysts can save some or all of their labor by aggregating data with Azure Data Catalog.
Analysts can collaborate with both internal and external teams to find sources and ensure data accuracy and relevance. Once BI has been built, analysts can communicate their findings to the entire business. This collaboration ensures that no additional analyses are required and that all business units work from the same information. It allows people to share and enhance data which can be used to improve BI.
Azure Data Catalog Key Concepts
There are some key aspects that must be considered in order to ensure efficient use of Data Catalog. This includes data discovery, comprehension and consumption.
Data discovery
Data discovery is a feature that makes data searchable and easily accessible to others. It ensures that all data in the catalog can be found.
Data understanding
Data understanding is the ability to interpret the catalog’s data. This includes metadata, explanations of the data’s structure or content, and papers describing how to use it.
Data consumption
Data consumption refers to the use of data by users. It can include multiple forms of data consumption and access. It could also include the ability to grant access to data or modify data to subsets.
Data users
Referred to is anyone who modifies, consumes or contributes data.