ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

EMR: All content tagged as EMR in NoSQL databases and polyglot persistence

How Safari Books Online uses Google BigQuery for BI

Looking for alternative solutions to built our dashboards and enable interactive ad-hoc querying, we played with several technologies, including Hadoop. In the end, we decided to use Google BigQuery.

Compare the original processing flow:

BigQuery processing flow

with these 2 possible alternatives and tell me if you notice any significant differences.

Alternatives to BigQuery

Original title and link: How Safari Books Online uses Google BigQuery for BI (NoSQL database©myNoSQL)

via: http://googlecloudplatform.blogspot.com/2013/07/how-safari-books-online-uses-google.html


Your Hadoop in Amazon's Cloud

Adam Horwich of metabroadcast shares their experience of running a Hadoop cluster on Amazon taking advantage of availability zones, spot instances and other tricks:

Oh Hadoop, how you infuriate me with your spurious failures and endless bugs, but how fantastic you can actually be when it comes down to it. I’ve been fighting with Hadoop a lot this past year, from a Region Server domino apocalypse, to the seemingly impossible job of duplicating a cluster. […] But to make the most of what you’ve got, I’ve been researching better ways of using resources available. There’s, of course, always been the option of using Amazon’s EMR service, but we originally built our cluster before that existed as a product, and have built our services around a standardised Hadoop cluster, with local DataNodes. This blog post will be about adding in some nice EMR style features to your dedicated Hadoop cluster running in AWS.

Original title and link: Your Hadoop in Amazon’s Cloud (NoSQL database©myNoSQL)

via: http://metabroadcast.com/blog/hadoop-in-the-cloud


The Architecture of a Credit Card Analysis Platform: Using Project Voldemort, Elastic MapReduce, Pangool

Ivan de Prado and Pere Ferrera on HighScalability.com:

The solution we developed has an infrastructure cost of just a few thousands of dollars per month thanks to the use of the cloud (AWS), Hadoop and Voldemort.

8342865055_a4f26ce140_c

This is one of the few projects outside LinkedIn that I know of that uses Project Voldemort. Plus the Voldemort backend storage is configured to use BerkleyDB.

Original title and link: The Architecture of a Credit Card Analysis Platform: Using Project Voldemort, Elastic MapReduce, Pangool (NoSQL database©myNoSQL)

via: http://highscalability.com/blog/2013/1/7/analyzing-billions-of-credit-card-transactions-and-serving-l.html