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In this age when data plays a crucial role in analytics, marketing and consumer outreach, among other aspects of business, flexible data management is crucial. It lets businesses adapt to the changing environment and meet the evolving needs of their businesses, avoiding outdated data infrastructures that could hinder growth.
Data management is the process of collecting data, integrating and storing it in a way that is beneficial to an organization’s analytical tools like AI and ML. Data management also includes methods that ensure consistency, high-quality data across different platforms and datasets. This includes master data (MDM) The practice of centralizing data domains to ensure security, consistency and efficiency.
Traditionally, organizations have structured their data using warehouses and lakes. However, many have realized that these structures can be limiting and hinder their ability to make changes and adapt in the face of changing business circumstances. This could cause them to fall behind their competitors who are better equipped to seize new opportunities or avoid dangerous risks.
By embracing a flexible framework such as that provided by MarkLogic companies, they can improve their data management. This flexible architecture allows users to create an inventory of their data assets and query the contents of those assets using user-defined views. Users can then access data in a simple manner. In contrast to traditional data warehouses that utilize hierarchical schemas to manage data the flexible data structure of MarkLogic provides unlimited flexibility to store any type of data, allowing companies to structure their data to meet their own needs without limiting its functions.