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Flexible data management is essential in the current era, where data is a crucial component of analytics, marketing consumer outreach and other elements that impact business operations. It lets businesses adapt to changing circumstances and meet the changing needs of their business, avoiding outdated data infrastructures that can hinder growth.
Data management is the process of acquiring, integrating and storing data in a manner that is useful to an organization’s analytical tools, such as AI and ML. Data management also encompasses techniques that ensure consistency, high-quality data across all platforms and datasets. This includes master data (MDM) which is the process of centralizing data domains in order to ensure security, consistency and efficiency.
Traditionally, businesses have structured their data using warehouses and lakes. Many organizations have found these structures to be restricted, limiting their ability to change and adapt to changing business conditions. This can lead them to fall behind their competitors who are better positioned to seize new opportunities or avoid dangers. risks.
By adopting a flexible architecture, such as the one offered by MarkLogic companies can enhance their data management. This kind of flexible architecture allows them to create a database of data assets and query their contents with user-defined views, enabling users to access data in a meaningful manner. MarkLogic’s flexible data architecture allows businesses to store any kind of data without being constrained by hierarchical schemas.