In this age when data plays an integral role in analytics, marketing and consumer outreach as well as other aspects of business operations, flexibility data management is vital. It allows businesses to adapt to the changing environment and meet evolving needs of their businesses while avoiding an outdated data infrastructure that could hinder growth.
Data management is the process of acquiring information, integrating it and storing it in a manner that makes it useful to an organization’s analytical tools, such as AI and ML. Data management involves techniques that ensure consistent, high-quality data across datasets and platforms. This includes master data management (MDM) which is the practice of centralizing important data domains to ensure consistency, efficiency and security.
Traditionally, businesses have used warehouses and lakes to organize their data. However, many have discovered these structures can be limiting and hinder their ability to make changes and evolve according to changing business needs. This could cause them to fall behind their competitors who are better equipped to seize new hop over to these guys opportunities or minimize risks.
By adopting a flexible architecture such as that offered by MarkLogic companies, they can improve their data management. This kind of flexible architecture lets them build an inventory of data assets and to query their contents using user-defined views that allow users to access data in a meaningful way. MarkLogic’s flexible data architecture lets companies store any type of data, without being restricted by hierarchical schemas.
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