Albert Callarisa Roca demoes pipelining in Redis using some basic Ruby code. Remember that saving round trips equals reduced latency => happier users.

Original title and link: Redis Pipelining Explained with Ruby Code (NoSQL database©myNoSQL)

via: http://acroca.com/blog/2012/02/04/redis-pipelined-queries/

When having to choose what library to use for full text indexing of CouchDB data for a Ruby application, Taylor Luk looked at from Sphinx, Lucene, Ferret, Xapian and decided to go with Xapian with Xapit . Besides the fact that Xapian with Xapit offers a clean interface and customization of the indexing process, there seem to be quite a few important limitations:

• Xapit is still under active development
• You need to trigger Index update manually
• It doesn’t Incremental index update at the moment

I know some are afraid of managing a Java stack, but in the land of indexing, Lucene, Solr, ElasticSearch, IndexTank are the most powerful tools.

Original title and link: Fulltext search your CouchDB in Ruby (NoSQL database©myNoSQL)

via: http://taylorluk.com/post/17255656638/fulltext-search-your-couchdb-in-ruby

Max De Marzi:

Gremlin is a domain specific language for traversing property graphs. Neo4j is one of the databases that can speak the gremlin language, and as promised I’ll show you how you can use it to implement friend recommendations as well as degrees of separation.

Original title and link: Friend Recommendations Using Gremlin With Neography (NoSQL database©myNoSQL)

via: http://maxdemarzi.com/2012/01/06/gremlin-with-neography/

Getting started with Ruby and Neo4j is very easy. Follow these steps and you’ll be up and running in no time.First we install the neography […]

The traversal API looks really nice and comes in two flavors: the Neo4j REST API and a Ruby-esque one.

Original title and link: Getting Started With Ruby and Neo4j Using Neography (NoSQL database©myNoSQL)

via: http://maxdemarzi.com/2012/01/04/getting-started-with-ruby-and-neo4j/

Brian O’Neill:

In an effort to make Hadoop/MapReduce on Cassandra more accessible, we added a REST layer to Virgil that allows you to run map reduce jobs written in Ruby against column families in Cassandra by simply posting the ruby script to a URL. This greatly reduces the skill set required to write and deploy the jobs, and allows users to rapidly develop analytics for data store in Cassandra.

Smart: 10. Security: ?. Utility: 10.

Original title and link: Hadoop/MapReduce on Cassandra Using Ruby and REST (NoSQL database©myNoSQL)

via: http://brianoneill.blogspot.com/2011/12/hadoopmapreduce-on-cassandra-using-ruby.html

Russell Jurney describes the lifecycle of data/events in an analytic application:

EVENTS -> RUBY -> AVRO -> PIG -> VOLDEMORT -> SINATRA -> WEB BROWSER -> USER

The first step to building analytics applications with Hadoop is to plumb your application from end to end: from collecting raw data to displaying something on the users’ screen. This is important, because models can get complex fast, and you need user feedback plugged into the equation from the start.

Original title and link: Booting the Analytics Application (NoSQL database©myNoSQL)

via: http://datasyndrome.com/post/13707537045/booting-the-analytics-application-events-ruby

An old post from Santosh Kumar describes the sequence of steps to parallelize processing from single threaded apps to using Redis and Resque and going through forking and process pools. Santosh has written extensively about using Redis for concurrency or as a Message oriented middleware (MOM).

The next time you need to get some background job action going, stop yourself from just grabbing a library. Instead, toy around with redis lists a little. You’ll be surprised by how much you can accomplish with just straight redis primitives.

While I agree with the usefulness of Redis^[1], none of his posts say what comes after it. And that’s specialized solutions.

Original title and link: Parallelizing Work: From Single-Thread to Redis (NoSQL database©myNoSQL)

via: http://santosh-log.heroku.com/2011/07/24/parallelizing-work-with-redis/