Databases are the backbone of any organization. These massive structures of digital information about people, things, products and services enable organizations to conduct business with ease. Large amounts of data regarding inventory, purchasing, inventory needs, sales figures and other related data are stored in the database to make it possible for users to access and process information as per need and expedience. If these databases are not well organized, processed and cleaned, it can lead to a lot of data corruption, system downtime, user frustration, loss of data and other issues. An efficient data catalog system will help you achieve all this.
There are a number of data catalog tools available to help organizations effectively manage large databases. Some of these include: enterprise data management (EDM), enterprise metadata management (EMM), in-memory processing (IMP), application service oriented (ASO), and query management (QM). Enterprise data management refers to those tools that help an organization reduce data churning, loss of data integrity, excessive user workload, lack of security and integration with legacy applications; it aims to improve efficiency by migrating data to a more efficient and cost effective data catalog. EMR refers to tools that help an organization reduce costs by consolidating data and reducing metadata management capabilities. Meta data, a collection of static information about objects in the database, is known as an organization’s “intangible asset,” but a good database must also have a metadata management capability to ensure the long-term sustainability of a data catalog.
The combination of these two technologies can help provide a better service to users and increase profits by empowering users to make informed decisions based on complete information. This can be done through better quality control over the processes that run the database, and better quality assurance of the data catalog itself. Through metadata management and data catalog application capabilities, users will have a better view of their data and therefore can make more informed decisions for themselves and others. Metadata technologies provide a foundation for building applications using an open-source data catalog and a strong governance capability. Through a successful combination of these technologies, organizations can build robust, highly scalable, flexible, and cost effective data management systems.
Data Governance 