Data management is a critical component of any organization, helping people, organizations, and connected things optimize the use of data within the limits of policies and regulations. Database administration is a fundamental function of data management, which involves performance monitoring and tuning to ensure acceptable response times on database queries. Other administrative tasks include designing, configuring, installing, and updating databases; securing data; backing up and recovering databases; and applying software updates. Master Data Management (MDM) is another important aspect of data management, which creates a common set of reference data about customers and products.
Red Hat Enterprise Linux has improved the performance, manageability, and reliability of commercial database management systems. Developing a data architecture is often the first step in large organizations that have a lot of data to manage.The core technology used to deploy and manage databases is a Database Management System (DBMS), which acts as an interface between the databases it controls and the database administrators, end users, and applications that access them. Big data environments are often built around open source technologies such as Hadoop, HBase, Spark, Kafka, Flink, and Storm. In large companies, individual subsidiaries and self-managing business units can build their own data warehouses.Data management performs several functions in an organization's data environment, facilitating essential functions and requiring less time.
MDM systems should provide an overview of a company's master data in different flows, as well as real-time data visualization and security functions. In the case of Google Cloud, all the necessary software is present but needs to be configured to work as a data management platform.The main reasons for incorrect data and data loss are that there is no data management system or plan or that the plan or system is of poor quality. The lines of responsibility for data management activities are generally communicated in an organization chart or interaction diagram using a Responsible, Accountable, Consulted and Informed (RACI) matrix.