In the age of big data, sound metadata and data management are essential for organizations. But what does metadata management exactly entail? How is it done? What are the benefits of managing metadata?

Data Lineage allows you to visualize the life cycle of data through a clear mapping and is a highly sought-after feature of the Data Catalog. Defining the origins and transformations of data is an essential step in any data governance strategy.

Data catalogs store information on all of the company’s data in one place. They collect data in a single repository and organize, analyze, and distribute the accompanying metadata. Without a data catalog, it will be harder for your organization to derive value from your business data and perform analyses necessary for the improvement and betterment of innovation, technological development, and business strategy.

Knowing how to easily identify, list, and access reference data has become a must-have skill for any company that seeks to be data-driven. So, what is reference data and what implications does it hold for your operation’s performance? Keep reading.

Data mesh is a sociotechnical approach to data architecture in which independent domain teams hold and maintain responsibility for managing their own data. With the transformation of raw data into highly relevant analytical models by local teams, data mesh eliminates large, centralized repositories of data and the complex pipelines connecting it to business intelligence users.

Three elements characterize big data: Volume, velocity, and variety. Of the three, volume is becoming a greater concern for companies – The amount of data collected is only growing! IT experts constantly have to adopt new terminology to describe the massiveness of data. It’s no longer surprising to hear about petabytes, exabytes, or even zettabytes!