This session will overview cloud provisioning tools written in java and clojure. First, we’ll overview general provisioning concerns and how devops relates to the java landscape. We will show examples that work on several clouds via use of the jclouds framework. Examples will include using Whirr to manage hadoop and zookeeper clusters in java, and pallet to build and manage application stacks including components as couchdb, tomcat, and nginx.. using clojure!
Watch this video on the Oredev Conference web site

This short video demonstrates some Riak’s 0.8 new features: the ability to write map/reduce queries in JavaScript. Riak is a document database and key/value store, designed to store semi-structured documents or objects of varying sizes. It uses the erlang_js project to integrate Mozilla’s Spidermonkey engine directly into Riak to keep overhead to a minimum.

M/DB is an Open Source emulation of Amazon SimpleDB, whilst M/DBX is an Open Source Native XML Database based around the SimpleDB HTTP-based API model. Both projects have been built on top of the GT.M NoSQL database. This talk summarizes the capabilities of these two databases and typical use-cases for which they are designed. It will also examine why GT.M was chosen as the underlying NoSQL database technology on which they were built.

Using NoSQL data stores makes you change the way you design and query data, so you have to learn new tools and methods to get the full power of your NoSQL DB. In this session we will focus on how to stop thinking ‘SQL and relations’ and start thinking ‘views and MapReduce’ with CouchDB. Our first challenge will be to query our documents with flexibility to get the data we need. To handle this, we will show how we can translate our good old SQL SELECT queries into Map and/or …

Some of today’s internet software serves millions of users and uses petabytes of data. NoSQL databases and MapReduce algorithms help us make use of large numbers of servers in different locations to manage this data and serve these users. Apache Hadoop provides “open source software for reliable, scalable, distributed computing”. Some companies using it are Amazon, EBay, Facebook, Hulu, LinkedIn, Twitter, and Yahoo. This video gives an overview of the Hadoop suite, review a sample java application using some of the technology, and entertain questions and discussion.

Video Producer: Oklahoma City …

Enda Farrell discusses how CouchDB is used by BBC for some of its websites, presenting the context it is deployed in, the operations performed against it, how replication and compacting works, some statistics, and how it is used at scale.
http://www.infoq.com/presentations/Auntie-on-the-Couch

As the amount and pace of data-generation keeps growing, businesses are stepping away from traditional rdbms solutions and go for highly scalable store solutions. Numerous papers are being published on this topic for instance by well known companies like Google, Facebook and Amazon and opensource projects come into existence like Cassandra and Hadoop. This video gives an overview on these emerging technologies and discuss what they could mean for your business applications.

Built with concepts from Amazon and Google, used by Facebook, Cassandra is another prominent utility in the big data toolkit. In this Cassandra and EC2 talk, we will go over the current distributed database scene, draw comparisons between the relational and NoSQL models, and we’ll see Cassandra at work, with a demo of Cassandra on Amazon EC2. Finally, we’ll look at the Cassandra integration with Hadoop MapReduce and Pig.
http://skillsmatter.com/podcast/java-jee/cassandra-running-distributed-databases-on-ec2

Justin Sheehy explains how Riak was created with ideas from Amazon’s Dynamo paper, Riak features and how Riak compares to other NoSQL solutions.
http://www.infoq.com/interviews/sheehy-riak

Lars George and Fabrizio Schmidt present Germany’s largest social networks, Schuelervz, Studivz and Meinvz, the problems they are facing daily, the architecture used in the past and the need to move to a NoSQL solution. The presentation concludes with lessons learned and plans for the future.
http://www.infoq.com/presentations/Social-Networks-NoSQL