Flexible data management is essential in the current era, where data is an essential element of analytics, marketing consumer outreach and other elements that affect the business processes. It lets businesses adapt to changing circumstances and meet the ever-changing needs of their business, avoiding outdated data infrastructures that may hinder growth.
Data management is the process of acquiring information, integrating it and storing it in a manner that allows it to be useful to an organization’s analytical tools like AI and ML. Data management also includes methods that ensure high-quality, consistent data across datasets and platforms. This includes master data (MDM), the practice of centralizing data domains in order to ensure consistency, security and efficiency.
Traditionally, businesses have structured their data using warehouses and lakes. However, many have realized that these structures aren’t ideal and can limit their ability to adapt and change with changing business conditions. This could cause them to fall behind competitors who are better equipped to capitalize on new opportunities or avoid risky risks.
By embracing a flexible architecture such as the one provided by MarkLogic organizations can improve their data management. This flexible architecture enables users to create an inventory of their data assets and query the data in these assets using user-defined views. Users are able to access data in a simple manner. MarkLogic’s flexible data structure allows businesses to store any kind of data without being limited by hierarchical schemas.
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