At the NYC Strata & Hadoop World conference I presented on ‘Not Just Hadoop: NoSQL in the Enterprise’. Robert Lancaster from Orbitz joined me on stage for the final presentation of the Bridge to Big Data track. Mark Madsen did a great job moderating the session and kept the energy high the entire day. Robert shared how Orbitz uses MongoDB with Apache Hadoop to provide real time rates. This is my second time presenting at Strata’s Big Data conference.
Steve Francia at OSCON At OSCON 2012 in Portland I gave a presentation on building your first MongoDB application. Over 150 people were in the audience, a pretty significant number of this type of hands on tutorial. Certainly worth the weeks of preparation that went into developing it. While at OSCON I put the slides online at SlideShare where during the four day conference the amassed over 20k views and within a couple weeks over 30k views.
Learn how to integrate MongoDB with Hadoop for large-scale distributed data processing. Using Hadoop’s MapReduce and Streaming you will learn how to do analytics and ETL on large datasets with the ability to load and save data against MongoDB. With support for Hadoop streaming support goes beyond the native Java enabling map reduce to be run in languages like Python and Ruby.
MongoDB, Hadoop and Humongous Data
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One of the most common concerns people have is how to ensure that their application is safe, secure and available in the event of an emergency. Often I have found that people are mistakenly believe that they are protected when in fact they often have ignored potential scenarios.
The principles explained apply equally well in RDBMSs, MongoDB and other databases.
Potential scenarios to protect against Drive failure Machine failure Switch failure Power circuit failure Data center failure Intrusion Fat fingers Programmer error Raid To prevent drive failure use multiple drives in a single machine for high availability.