Kyle Kingsbury tested over eight databases to see how they behave under partition. In this talk, he explains the impact of partitions on consistency, isolation, and transactions across multiple databases. Toward the end of the talk, he pays particular attention to Cassandra.Continue
In this talk, "MongoDB, Analytics, and Flexible Schemas," Jon Hyman, CTO and co-founder of Appboy, discusses how Appboy takes advantage of MongoDB's schemaless data modeling for analytic pre-aggregation. Jon will also discuss how Appboy uses the aggregation framework and statistical analysis to estimate results of ad-hoc queries over tens of millions of database documents. Furthermore, he will also cover other tips and hints that he learned from growing a MongoDB set up to support thousands of writes per second. This talk was recorded at the New York MongoDB user group meetup at Ebay NYC.Continue
In this talk, "Content Delivery with MongoDB and Node.js," Nir Zicherman and Jack Sisson discuss why the Aviary mobile team chose MongoDB and Node.js to build a fully flexible system that scales with our growth and facilitates the evolution of our product. This talk was recorded at the New York MongoDB user group meetup at Ebay NYC.Continue
(Contributor article “Tracking Twitter Followers with MongoDB by André Spiegel,” Consulting Engineer at MongoDB. Originally appeared on MongoDB blog)
As a recently hired engineer at MongoDB, part of my ramping-up training is to create a number of small projects with our software to get a feel for how it works, how it performs, and how to get the most out of it. I decided to try it on Twitter. It’s the age-old question that plagues every Twitter user: who just unfollowed me? Surprising or not, Twitter won’t tell you that. You can see who’s currently following you, and you get notified when somebody new shows up. But when your follower count drops, it takes some investigation to figure out who you just lost. Continue
Big Data and Wee Data - We all know MongoDB is great for Big Data, but it's also great for work on the other end of the scale -- call it "Wee Data". In this talk, MongoDB expert and Principal at Bringing Fire Consulting, Avery Rosen, talks on how this type of data is far more common than Big Data scenarios. Avery discusses how just about every project starts with it. In this domain, we don't care about disk access and indices; instead, we care about skipping past the wheel inventing and getting right down to playing with the data. MongoDB lets you persist your prototype or small-working-set data without making you deal with freeze-drying and reconstitution, provides structure well beyond csv, gets out of your way as you evolve your schemas, and provides simple tools for introspecting data and crunching numbers. This talk was recorded at the New York MongoDB User Group meetup at About.comContinue
In this talk, we'll hear from Sam Helman, Software Engineer at MongoDB (formerly 10gen), on how MongoDB is integrating Go into their new and existing cloud tools. Some of the tools leveraging Go include the backup capabilities in MongoDB Management Service and a continuous integration tool. They see using Go as an opportunity to experiment with new technologies and create a better product for end users. This talk was recorded at the MongoDB User Group meetup at MongoDB.Continue
We just got a fresh recording uploaded from the SF MongoDB User Group. Ben Goswami, Team Lead, Analytics Engineering at KIXEYE, discusses how MongoDB is used to solve some of the challenging problems with big data analytics. This talk will also mention some of the new features in 2.2 which Ben has found useful.