Flexible Data Management

In a time when data plays a crucial role in analytics, marketing and consumer outreach, among other aspects of business operations, a flexible data management is critical. It allows businesses to adapt to changes and meet the changing needs of their business by avoiding outdated data infrastructures that could hinder growth.

Data management is the process of collecting data, integrating and storing it in a way that makes it useful to an organization’s analytical tools, such as AI and ML. Data management also includes techniques that ensure high-quality, consistent data across datasets and platforms. This includes master data (MDM) which is the practice of centralizing data domains in order to maintain security, consistency and efficiency.

Traditionally, companies have utilized warehouses and lakes to organize their data. Many companies have discovered these structures to be restricting, which limits their ability to change and adapt to changing business conditions. This can lead them to fall behind their peers who are better able to capitalize on new opportunities or to avoid risk risks.

With a flexible framework such as that offered by MarkLogic companies can enhance their data management. This flexible architecture enables users to build an inventory of their data assets and query the contents of the assets by 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 kind of data, allowing companies to organize their data to meet their own requirements without limiting its functionality.

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