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In this podcast episode, the host interviews Jay Runkel, Distinguished Solutions Architect at MongoDB, about application-driven analytics. Traditionally, analytics were done in batches by a special-purpose data warehousing analytical tool. However, with app-driven analytics, the application provides real-time visibility into what is happening right now. MongoDB is uniquely positioned in this arena due to its powerful query language and distributed architecture. MongoDB's distributed architecture allows users to dedicate certain nodes to analytics and other nodes to operational queries. MongoDB's Atlas platform also allows users to easily add dedicated analytical nodes, which can be configured separately from the nodes that handle operational queries. This is beneficial from a cost perspective because users can choose to allocate resources as needed for different types of queries.
Visit https://mdb.link/rocket for more details about the livestream.
By MongoDB4.9
7272 ratings
In this podcast episode, the host interviews Jay Runkel, Distinguished Solutions Architect at MongoDB, about application-driven analytics. Traditionally, analytics were done in batches by a special-purpose data warehousing analytical tool. However, with app-driven analytics, the application provides real-time visibility into what is happening right now. MongoDB is uniquely positioned in this arena due to its powerful query language and distributed architecture. MongoDB's distributed architecture allows users to dedicate certain nodes to analytics and other nodes to operational queries. MongoDB's Atlas platform also allows users to easily add dedicated analytical nodes, which can be configured separately from the nodes that handle operational queries. This is beneficial from a cost perspective because users can choose to allocate resources as needed for different types of queries.
Visit https://mdb.link/rocket for more details about the livestream.

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