Nytro Posted November 2, 2011 Report Posted November 2, 2011 Using NoSQL and analyzing big dataLearn how to handle massive amounts of distributed data with schemaless datastoresDate: 07 Oct 2011 (Published 19 May 2011) |Level: Introductory1. Getting started with NoSQLNoSQL datastores are moving to the forefront because they solve the problem of scalability on a massive scale. Schemaless datastores are fundamentally different from traditional relational databases, but leveraging them is easier than you might think.Read: Java development 2.0: NoSQLItem marked not complete - Click to mark complete2. Hands-on introduction to popular NoSQL datastoresNow that you have the basics of NoSQL down, it's time to explore some of the more popular datastores. Get a hands-on introduction to MongoDB, CouchDB, and Amazon's SimpleDB, as well as Google AppEngine's multiple storage options.Read: MongoDB: A NoSQL datastore with (all the right) RDBMS movesItem marked not complete - Click to mark completeListen: Eliot Horowitz on MongoDBItem marked not complete - Click to mark completeWatch: MongoDB video demoItem marked not complete - Click to mark completeRead: Cloud storage with Amazon's SimpleDB (two-part article)Item marked not complete - Click to mark completeWatch: Video demo: An introduction to Amazon SimpleDBItem marked not complete - Click to mark completeRead: REST up with CouchDB and Groovy's RESTClientItem marked not complete - Click to mark completeListen: Aaron Miller and Nitin Borwankar on CouchDB and the CouchOne mobile platformItem marked not complete - Click to mark completeRead: GAE storage with Bigtable, Blobstore, and Google StorageItem marked not complete - Click to mark complete3. Analyzing distributed data with MapReduceA key enabling technology of the big data revolution is MapReduce: a programming model and implementation developed by Google for processing massive-scale, distributed data sets. Explore Apache Hadoop, an open source MapReduce implementation that plays a major role in IBM's approach to big data analysis.Read: Big data analysis with Hadoop MapReduceItem marked not complete - Click to mark completeRead: Solve cloud-related big data problems with MapReduceItem marked not complete - Click to mark completeRead: Crunch your existing data using Apache HadoopItem marked not complete - Click to mark completeDownload: IBM MapReduce Tools for EclipseItem marked not complete - Click to mark completeRead: A conversation with Rod Smith, IBM's Mr. Big DataItem marked not complete - Click to mark completeSursa si link-urile necesare:http://www.ibm.com/developerworks/training/kp/j-kp-nosql/index.html Quote
