column store: All content tagged as column store in NoSQL databases and polyglot persistence
Slidedeck from eBay explaining how they have implemented a graph based recommendation system based on,—surprise! not a graph database—Cassandra.
Original title and link: Graph Based Recommendation Systems at eBay ( ©myNoSQL)
The team I know at Adobe has invested a lot into HBase and they are offering their services globally. But according to this PDF, in a true polyglot database manner, it looks like other parts of the Adobe business have opted for a different solution: Cassandra. The size of the cluster mentioned in the whitepaper is pretty small, 16 nodes, but what is interesting is that these are beafy servers using solid state drives:
The PCS is comprised of large servers using solid state drives (SSDs) for storage […] The PCS is basically Cassandra with a set of custom APIs built on top of it.
Original title and link: Cassandra at Adobe: The Profile Cache Servers ( ©myNoSQL)
Interesting slidedeck by Matthias Broecheler introducing 3 graph-related tools developed by Vadas Gintautas, Marko Rodriguez, Stephen Mallette and Daniel LaRocque:
- Titan: a massive scale property graph allowing real-time traversals and updates
- Faunus: for batch processing of large graphs using Hadoop
- Fulgora: for global running graph algorithms on large, compressed, in-memory graphs
The first couple of slides are also showing some possible use cases where these tools would prove their usefulness:
Original title and link: Adding Value Through Graph Analysis Using Titan and Faunus ( ©myNoSQL)
If you never looked into Apache Cassandra, Michaël Figuière’s slidedeck will give you a quick into Cassandra’s main concepts.
Apache Cassandra 1.2 introduces some new features such as a Binary Protocol and Collections datatype that together with the now finalized CQL3 query language provide a new interface to communicate with Cassandra that dramatically shrink its learning curve and simplify its daily use while still relying on its highly scalable architecture and storage engine. This presentation will iterate over all these new features including an overview of CQL3 query language, a look at the new client architecture, and an update on data modeling best practices. Then we’ll see how to implement an enterprise application using this new interface so that the audience can realize that a number of design principles are inspired from those commonly used with relational databases while some other entirely different, due to Cassandra partitioning approach.
Original title and link: Brief Intro to Cassandra in 27 Slides ( ©myNoSQL)