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Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers.The system prioritizes availability and scalability over consistency, making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [2]
ILM policy consists of the overarching storage and information policies that drive management processes. Policies are dictated by business goals and drivers. Therefore, policies tie into a framework of overall IT governance and management; change control processes; requirements for system availability and recovery times; and service level agreements (SLAs).
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Software, typically proprietary products or open-source projects, with a primary purpose of data management. Database management system software could be considered a related category, though those will typically exist for the purpose of managing a database in a particular structure (i.e. relational, object-oriented).
Workflow is a complex process, and some document management systems have either a built-in workflow module [12] or can integrate with workflow management tools. [5] There are different types of workflow. Usage depends on the environment to which the electronic document management system (EDMS) is applied.
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