video: All content tagged as video in NoSQL databases and polyglot persistence
For NoSQL databases there are no clear rules like the Boyce-Codd Normal Form database normalization. Data modeling and analysis of data access patterns are two fundamental activities. While over the last 2 years we’ve gather some recipes, it’s always a good idea to check what are the recommended ways to model your data with your choice of NoSQL database.
After the break, watch 10gen’s Richard Kreuter’s presentation on MongoDB schema design.
For single server deployments, backups are a must. But sometimes you might need to backup other deployments too. After the break, Scott Hernandez’ (10gen) talks about backing up a single server MongoDB, MongoDB replica sets, and MongoDB sharded cluster.
After seeing the excerpt from Jonathan Harris’ talk at Data Scientist Summit I really wanted to post a link to some of the videos. But they are all behind a registration gateway. Just in case you want to watch them—there are indeed some interesting titles— you’ll find them here.
The fine guys from 10gen have granted me access to publish here videos from their Mongo events organized across US and Europe—thanks Meghan.
I’ve decided to start this series with one high profile company in MongoDB portfolio: Foursquare—you’ll understand why I’m saying this if you check the content I’ve published before about Foursquare.
Without further ado, Harry Heymann’s‘ talk: Practical data storage: MongoDB at Foursquare.
Mark Pollack (VMWare) and Emil Eifrem (Neo Technology) answering the why and how to use Spring Data and Neo4j.
Lorenzo Alberton with an overview of the NoSQL landscape:
NoSQL databases get a lot of press coverage, but there seems to be a lot of confusion surrounding them, as in which situations they work better than a Relational Database, and how to choose one over another. This talk will give an overview of the NoSQL landscape and a classification for the different architectural categories, clarifying the base concepts and the terminology, and will provide a comparison of the features, the strengths and the drawbacks of the most popular projects (CouchDB, MongoDB, Riak, Redis, Membase, Neo4j, Cassandra, HBase, Hypertable).
Bradford Stephens talking distributed systems:
Building distributed systems is painful. Many organizations are approaching the point where their data and application infrastructures are being run on many servers (in the cloud or datacenter). Our software practices don’t reflect that, often with disastrous results. This talk is a collection of scalability principles, anecdotes and practices from experts (and personal experience) from engineering, operations, and business perspectives.
Anil Madan presenting on Hadoop at eBay:
The talk will illustrate how Hadoop has become a critical center piece of infrastructure for eBay, running on thousands of servers. I will also discuss how it fuels our derived data pipeline which in turn affects just about all our services. Attendees will understand how we have integrated Hadoop into our existing data warehouse and how we are leveraging components of the ecosystem like HBase, Pig, and Hive for different research and production use cases.