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This strategy also inhibited

Over time, even the latest approaches became unfeasible due to the time, effort, and cost ne to move all that data.   real-time access, simply because the data had to be mov before it could be obtain.

Finally, organizations found that there was always some data that could never be mov into a centraliz repository because of the ne to follow privacy regulations that restrict data movement. Organizations realiz that they ne a better way to manage distribut data.

How a Logical Approach

Takes the Fear Out of Data Management

Logical data management solutions offer a way forward. Rather new zealand whatsapp number data than relying on the physical movement of progressively larger volumes of data into progressively larger repositories, logical data management enables direct, real-time connections to disparate data sources. In this way, users can access data without first having to move it.

Logical data management solutions also enable organizations to establish semantic layers above the disparate data sources to deliver data in the language of the business, regardless of the semantics inherent in each without a logical data management platform individual data source. Logical data management solutions eliminate the root cause of complexity, high costs, and delays. As a result, they enable organizations to embrace the decentraliz reality of data and deliver the ne data on their users’ terms.

A logical data management solution alleviates traditional data management fears in the following ways:

Unifies data across the entire organization

Providing all users with access to all the data they ne in a language they can understand. An effective logical data management platform will be able to connect to on-premises databases, cloud systems, and atb directory diverse data sources like Internet of Things (IoT) networks, and will be able to accommodate highly structur data, completely unstructur data, or any type of data in between. With this wide support, they enable the creation of unifi semantic layers above the different data sources.

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