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  2. Aspects of data management include12345:
    • Creating, collecting, and storing data
    • Organizing and securing data
    • Data cleaning and transformation
    • Ensuring data privacy and security
    • Providing high availability and disaster recovery
    • Using data in various applications and analytics
    Learn more:
    Data management is the process of creating, collecting, storing, maintaining, securing, archiving, destroying and, most importantly, using data to bring value to a business. Most businesses create and collect an astronomical amount of data so they require quality data management to maintain and use the data in its lifecycle.
    builtin.com/data-science/data-management
    Data management is a comprehensive set of processes and tools for acquiring, storing, organizing, securing, and maintaining an organization’s data assets. Together, they help to ensure that data is accurate, accessible, and suitable for supporting the business’s goals and objectives.
    www.enterprisestorageforum.com/management/dat…
    Data management can be divided into three steps—data collection, data cleaning and transformation, and data storage. These steps are not necessarily chronological and often occur simultaneously. Different aspects of the process may require the expertise of different people necessitating a team effort for the effective completion of all steps.
    www.nature.com/articles/s41390-021-01389-7.pdf
    The work of data management has a wide scope, covering factors such as how to: Create, access, and update data across a diverse data tier Store data across multiple clouds and on premises Provide high availability and disaster recovery Use data in a growing variety of apps, analytics, and algorithms Ensure data privacy and security
    www.oracle.com/database/what-is-data-managem…
    According to Gartner, data management consists of the practices, architectural techniques, and tools for achieving consistent access to and delivery of data across the spectrum of data subject areas and data structure types in the enterprise, to meet the data consumption requirements of all applications and business processes.
    www.sigmacomputing.com/resources/learn/what-i…
     
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