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. 96 - Christmas Lights and Webcams with the MongoDB Data API
Ep. 95 Life At MongoDB: Exploring Cloud Support with Mark Kirpichnikov and Jon Fanti
Ep. 94 DevOps, IaC, Terraform and MongoDB with John Fahl
Ep. 93 Swyx - Learn in Public and Temporal
Ep. 92 Introducing the MongoDB Atlas Data API with Sumedha Mehta
Ep. 91 Loan Laux - MongoDB and E-Commerce
Ep. 90 John Page and Karen Hualme of MongoDB Developer Relations
Ep. 89 Richard Collins and DJ Walker Morgan of Studio3T
Ep. 88 Harry Swan and Cademy
Ep. 87 Matt Asay and Joe Drumgoole Live at .Local London
Ep. 86 NextJS with Ado Kukic
Ep. 85 Tech Conferences with Nancy Monaghan and Dorothy McClelland
Ep. 84 Shrey Batra - Writing Scalable Applications for Big Data with MongoDB
Ep. 83 Online Archive and Data Lake with Benjamin Flast
Ep. 82 Serverless with Chris Shum
Ep. 81 The Realm JavaScript SDK with Kraen Hansen
Ep. 80 Exploring Prisma with Daniel Norman
Ep. 79 Atlas Search with Marcus Eagan
Ep. 78 Building Kustomer with Jeremy Suriel
Ep. 77 A Look at Modern Healthcare Technology Solutions with Luca Vicentini
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