This video discusses Amazon DynamoDB, a NoSQL, highly scalable, SSD-based, zero administration database service in the AWS Cloud. It explains how DynamoDB works and also walk through some best practices and tips to get the most out of the service. With a few clicks in the AWS Management Console, customers can launch a new Amazon DynamoDB database table, scale up or down their request capacity for the table without downtime or performance degradation, and gain visibility into resource utilization and performance metrics.

Enterprises today collect and generate more data than ever before. Relational and data warehouse products excel at OLAP and OLTP workloads over structured data. The open-source project administered by the Apache Software Foundation known as Hadoop, is designed to solve a different problem: the fast, reliable analysis of both unstructured and complex data. As a result, many enterprises deploy Hadoop alongside their legacy IT systems, which allows them to combine old data and new data sets in powerful new ways.

The CouchDB document store is well suited to many CRUD style websites. However a particularly interesting aspect of Couch is the _changes feed which streams updates about what is going on inside the database. By using this feed with Node.js, Mikeal Rodgers shows how it’s possible to push data to the browser in ways previously not possible.

A presentation of the Redis Cluster, the new Redis component that provides linear scalability to Redis. Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. Unlike other distributed stores implementing eventual consistency the Redis Cluster design is tuned towards fully consistency, at the cost of fault tolerance in the case of netsplits. The design and tradeoffs of Redis cluster are explained, as well as its motivations.

A presentation of the various data and querying models available in today’s distributed data stores landscape. This session reviews what models and APIs are available and discusses the capabilities each of them provides, the applicable use cases and what it means for your application’s performance and scalability.

Matt Ingenthron of Couchbase presents the UnQL language. UnQL means Unstructured Query Language. It’s an open query language for JSON, semi-structured and document databases. This language is the brainchild of Richard Hipp, the creator of SQLite, and Damien Katz, CTO of Couchbase and creator of CouchDB.

Apache HBase is the Hadoop database, a distributed, scalable, big data store. HBase is an open-source, distributed, versioned, column-oriented store modeled after Google’s Bigtable. This video discusses the new features that ship in the just released HBase 0.92.0 and interesting near-horizon developments.

Core RavenDB developer Itamar Syn-Hershko explains in this video the RavenDB indexing process and discusses master techniques with frightful names like Map/Reduce, MultiMap, Live Projections, Full text search, Boosting and more.

Using Apache Cassandra from Python is easy to do. This talk covers setting up and using a local development instance of Cassandra from Python. It covers using the low level thrift interface, as well as using the higher level pycassa library.

This video discusses data models for Riak, a protocol for synchronizing key-values, and BucketDB, a mobile Riak client.