Media & Marketing

Author

Carlos Barge

The amount of data organizations produce today means that companies cannot rely on single servers or must pay handsomely for physical server capacity to handle massive datasets. Instead, MPP is becoming an increasingly popular alternative in a variety of settings.

In business intelligence, for instance, MPP databases mean that more people in an organization can run their own data analyses and queries simultaneously without experiencing lag or longer response times. Especially for larger organizations, this degree of flexibility grants more stakeholders information on demand.

MPP databases are also useful for centralizing data in a single location. Instead of having to break up massive datasets, MPP allows them to be stored in a single location and accessed from different points. This includes storing a variety of data such as marketing, web, operational, logistics, and HR data.

For larger organizations, this centralized resource makes it easier to uncover insights, connect data dots that may not be apparent at first, and even build dashboards that contain more relevant information than those built from data that is fragmented. Finally, MPP is usually best suited to handle structured data sets as opposed to models such as data lakes.

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