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MongoDB’s Mat Keep: Open-Source Database Can Help Agencies ‘Glean Insights’ From Large Data Volumes

Mat Keep

Mat Keep, director of product and market analysis at MongoDB (Nasdaq: MDB), has said government agencies should modernize their data infrastructures to manage and analyze large volumes of collected data through the adoption of non-relational databases.

Keep wrote such databases work to help organizations automatically spread data across public cloud platforms and data centers as well as “maintain service continuity in the event of a failure.”

The need to accelerate the development and deployment of applications has become another driving factor behind data infrastructure modernization efforts.

“Microservices, containers, and DevOps are helping organizations build more modular applications so multiple teams can work on components in parallel and innovate more quickly,” Keep added.

He said agencies seeking to adopt open-source databases should choose a platform backed by a community of users and viable vendor with the goal of further developing the technology and exchanging best practices.

Keep also discussed how an intelligent operations platform – WindyGrid – based on big data analytics and open-source tools works to help officials in Chicago uncover insights from data and address issues related to refuse collections, traffic congestion, weather and health emergencies and crimes.

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