Advanced applications with MongoDB

Editor's Notes

• #8: Rich queries, text search, geospatial, aggregation, mapreduce are types of things you can build based on the richness of the query model.
• #10: There's 168 (and counting) members Come and join us to learn more and share experiences
• #16: Looking at the other technologies in the market… Relational databases laid the foundation for what you’d want out of your database Rich and fast access to the data, using an expressive query language and secondary indexes Strong consistency, so you know you’re always getting the most up to date version of the data But they weren’t built for the world we just talked about Built for waterfall dev cycles, structured data Built for internal users, not large numbers of users all across the global (From vendors who want large license fees upfront) --> So what they have in data access and consistency, they lack in flexibility, scalability and performance
• #20: NoSQL databases have tried to address the new world… They all have relatively flexible data models They were all built to scale out horizontall And they were built for performance But in doing so, they have sacrificed the core database capabilities you’ve come to expect and rely on in order to build fully functional apps, like rich querying, secondary indexes and strong consistency
• #22: MongoDB was built to address the way the world has changed while preserving the core database capabilities required to build functional apps MongoDB is the only database that harnesses the innovations of NoSQL and maintains the foundation of relational databases
• #23: MongoDB was built to address the way the world has changed while preserving the core database capabilities required to build functional apps MongoDB is the only database that harnesses the innovations of NoSQL and maintains the foundation of relational databases
• #26: There are many forces at work changing how we build and run applications today: Development methods have shifted from waterfall patterns that unfold over 12-24 months to iterative patterns that evolve on a monthly basis. Organizations need software and infrastructure that support fast time to market. Application costs have shifted, from being dominated by costs associated with infrastructure to being dominated by costs associated with engineers. Organizations need software and infrastructure that help to lower engineering costs. In the background, there is what Gartner calls a “nexus of forces” that are driving massive change in how organizations run their business. Mobile usage is now >50% of all internet usage. Users are online continuously, throughout the day, and there are more of them than ever before. Social dominates use of the internet, including 93% of businesses use social media. Data growth is unprecedented. 90% of all data created in the history of mankind was created in the last two years. Unstructured growing at 2x structured. Cloud infrastructure costs have been declining approximately 30% YOY for the past two decades. MongoDB was designed to help organizations capitalize on these trends by providing a database that dramatically speeds how quickly applications can be brought to market, and leverages modern infrastructure trends to drive down costs.
• #34: Feature Tradeoffs. A catalog is only as good as its ability to serve up fine-grained access to the data within it.
• #35: Feature Tradeoffs. A catalog is only as good as its ability to serve up fine-grained access to the data within it.
• #36: Feature Tradeoffs. A catalog is only as good as its ability to serve up fine-grained access to the data within it.
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