Flexible Data Management

Flexible data management is essential in the present, when data is a vital element of marketing, analytics consumer outreach and other elements that affect the business processes. It allows businesses to adjust to changes and meet the evolving requirements of their businesses and avoid having an outdated data infrastructure that can hinder growth.

Data management is the process for acquiring, integrating and the storage of data so that it can be utilized by an organization’s analytical tools like AI and ML. Data management includes techniques that guarantee high-quality, consistent data across datasets and platforms. This includes master data (MDM), the practice of centralizing data domains to maintain security, consistency and efficiency.

Traditionally, companies have utilized lakes and warehouses to structure their data. Many organizations have found these structures to be restricting, which limits their ability to make changes and adapt to changing business conditions. This can lead them to fall behind their peers who are better able to seize new opportunities or to avoid risk risks.

With a flexible framework like that offered by MarkLogic companies can improve their the management of data. This flexible architecture enables users to build an inventory of their data assets, and query the data in the assets by using user-defined views. Users can then access their data in a simple manner. Unlike traditional data warehouses that utilize hierarchical schemas to manage data the flexible data architecture of MarkLogic gives users the ability to store any type of data. This allows companies to structure their data to meet their own requirements without limiting its functionality.

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