Flexible Data Management

Vrijeme čitanja:1 min, 21 sec

Flexible data management is essential in this age, when data is an essential element of analytics, marketing consumer outreach and other aspects that affect the business processes. It allows businesses to adapt to changing circumstances and meet the ever-changing needs of their business while avoiding outdated data infrastructures that may hinder growth.

Data management is the process of acquiring, integrating and storing data in a way that is useful to an organization’s analytical tools, such as AI and ML. Data management involves techniques that guarantee high-quality, consistent data across all 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 structured their data with warehouses and lakes. Many organizations have discovered that these structures are restrictive, limiting their ability change and adapt to changing business conditions. This could cause them to you could look here lag behind competitors who are better positioned to seize new opportunities or avoid dangerous risks.

By implementing a flexible structure like the one offered by MarkLogic organizations can improve the management of data. This flexible architecture allows users to build an inventory of their data assets and then query the contents of those assets by using user-defined view. Users are able to access data in a logical manner. As opposed to traditional data warehouses, which utilize hierarchical schemas for organizing data the flexible data structure of MarkLogic provides unlimited flexibility to store any kind of data. It allows enterprises to structure their data to meet their own requirements, without limiting its functions.