Sebastian Kanthak overviews Spanner, covering details of how Spanner relies on GPS and atomic clocks to provide two of its most innovative features: Lock-free strong (current) reads and global snapshots that are consistent with external events.
Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.
Randy Shoup details some of the pieces forming Google’s technology stack, BigTable, Megastore, Dremel, virtualization, etc. and the design principles of their their cloud-based applications.
Matthew Dennis covers the most common mistakes made with Cassandra that he has noticed being made both in deployment and code.
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.
Jake Luciani introduces Brisk, a Hadoop and Hive distribution using Cassandra for core services and storage, presenting the benefits of running Hadoop in a peer-to-peer masterless architecture.
Siddharth Anand presents how Netflix’s architecture evolved from a traditional 3-tier configuration to a cloud-based one, detailing the scalability and fault tolerant issues encountered.
Chris Richardson shows how he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.
Mike Malone discusses principles of good and bad (software) architecture determining SimpleGeo’s architecture: deal with change, embrace failure, phased adoption, balanced security, and others.
Kannan Muthukkaruppan overviews HBase, explaining what Facebook Messages is and why they chose HBase to implement it, their contribution to HBase, and what they plan to use it for in the future.
Siddharth “Sid” Anand explains the technical details behind the move from Oracle used inside their data center to SimpleDB and S3 in the cloud, and from there to Cassandra.