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.
Ep. 37 Open Source Project O-FISH with Sheeri Cabral
Ep. 36 Behind the Scenes of the MongoDB Podcast
Ep. 35 Developer to Developer Advocate with Lauren Schaefer
Ep. 34 Performance Testing with David Daly
MongoDB Update - December 21 - MongoDB.Live Call for Speakers
Ep. 33 MongoDB Swift Driver with Kaitlin Mahar
Ep. 32 Lawrence Berkeley Labs Materials Project with Patrick Huck
Ep. 31 Built With MongoDB: Formbird
Ep. 30 MongoDB Connectors and Translators Deep Dive
MongoDB Update for November 30th, 2020
Ep. 29 Code Editor Landscape and MongoDB for VS Code
MongoDB Update for November 23, 2020
Ep. 28 Sizing MongoDB with Jay Runkel
Ep. 27 Built with MongoDB: BestSelf with David Gorski
Ep. 26 Automated Database Management Part 2 - Autoscalability
MongoDB Update for November 9, 2020
Ep. 25 Exploring Multi-cloud with Andrew Davidson
MongoDB Update for November 2, 2020
Ep. 24 From Developer to Solutions Architect with Tosin Ajayi
MongoDB Update for October 26, 2020
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