Ep. 154 Launching Your App to the Next Level with In-App Analytics and MongoDB

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This is a podcast episode titled, Ep. 154 Launching Your App to the Next Level with In-App Analytics and MongoDB. The summary for this episode is: <p>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. </p><p><br></p><p>Visit <a href="https://mdb.link/rocket" rel="noopener noreferrer" target="_blank">https://mdb.link/rocket</a> for more details about the livestream.</p>
Jay introduces App-driven Analytics
01:07 MIN
What's tricky about implementing app-driven analytics?
00:47 MIN
How is MongoDB unique in delivering on the promise of app-driven analytics?
00:58 MIN
Jay describes the architecture of an app-driven analytics deployment.
00:50 MIN
Jay talks about the upcoming live-stream around app-driven analytics.
01:36 MIN
What do listeners need to do in advance to follow the livestream?
00:36 MIN

DESCRIPTION

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.