Flexible management of data is vital in today’s world, where data is a vital element of analytics, marketing consumer outreach, and other aspects that affect the business processes. It allows businesses to adapt to changes and meet changing needs of their business while avoiding outdated data infrastructures that can hinder growth.
Data management is the process for acquiring, integrating and storing data so that it can be used by the organization’s analytical tools like AI and ML. Data management also includes techniques to ensure the consistency of high-quality data across different platforms and datasets. This includes master data management (MDM), which is the process of centralizing important data domains to maintain the consistency, efficiency and security of data.
Traditionally, businesses have relied on warehouses and lakes to organize their data. However, many have discovered that these structures aren’t ideal and can limit 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 make the most of new opportunities or avoid danger risks.
By adopting a flexible architecture like that offered by MarkLogic organizations can improve data management. This kind of flexible architecture allows them to build a catalog of data assets, and then query their contents with user-defined views, enabling users to access data in a meaningful manner. As opposed to traditional data warehouses, which use hierarchical schemas to organize data the flexible data structure of MarkLogic allows for unlimited flexibility to store any kind of data, allowing enterprises to structure their data according to their own needs without limiting its capabilities.
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