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    • Time: 44 hours
    • Free Certificate

    The world of business is changing, and database management systems are at the heart of modern business information systems. Like any other resource, corporate data must be effectively managed to ensure the organization's ongoing success. Data management, which focuses on data collection, storage, and retrieval, thus constitutes a core activity for any business or organization.

    Organizations and enterprises use big data more than ever to make informed business decisions. They rely heavily on big data to gain insights into customer trends, purchasing behavior, and improving product and service experiences. Organizations turn to data management solutions and platforms to make sense of vast amounts of data. Therefore, data management has become one of the most vital administrative functions. Most organizations are excellent at collecting data. However, there is a need for skilled professionals who can manage, analyze, and reveal insights from big data. Organizational leaders seek personnel who can provide reliable and trustworthy data insights through data management. Because of technological advancements, organizations can collect and store more data faster than ever.

    For example, you may work for an organization that requires a data management department. You need to decide which technologies will best fit the organization's needs. Some technologies include MySQL, Microsoft Access, SQL, Oracle, RDBMS, and dBASE. To select the best technology for your organization, you will first need to analyze and compare data to choose the correct type of data management. You will develop a data management plan to improve the organization's decision-making capabilities.

    Leaders are ready to move past collecting raw data. It is time to leverage this data to improve best practices, profits, and efficiency. This course will cover the concepts of data management, database systems, and database applications in business. This course will provide adequate technical information for organizational and implementation issues relevant to the management of data in an organizational environment.