This presentation given at MongoSV 2012 focuses on data processing when using MongoDB as your primary database including integration with Hadoop & the new MongoDB aggregation framework. Learn how to integrate MongoDB with Hadoop for large-scale distributed data processing. Using tools like MapReduce, Pig and Streaming you will learn how to do analytics and ETL on large datasets …
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 …
This is a 3 hour tutorial I wrote for and gave at OSCON 2012. Here is the summary: This tutorial will introduce the features of MongoDB by building a simple location-based application using MongoDB. The tutorial will cover the basics of MongoDB’s document model, query language, map-reduce framework and deployment architecture. The tutorial will be …
This session introduces the basic components of high availability before going into a deep dive on MongoDB replication. We’ll explore some of the advanced capabilities with MongoDB replication and best practices to ensure data durability and redundancy. We’ll also look at various deployment scenarios and disaster recovery configurations. Replication, Durability, and Disaster Recovery …
Strategies for multi-data center deployment. Diving into the details of deploying of MongoDB across multiple data centers. Covers the advantages of a multi data center deployment for read/write locality, the various deployment strategies, and disaster preparedness and recovery. In addition, we’ll look at the MongoDB roadmap and planned enhancements around data center awareness. This …
I had the unique opportunity to present at the annual technology forum Insight Venture Partners holds for their portfolio companies. Over 100 CTOs gathered in NYC to hear from great presenters from companies like 10gen, Tumblr, Shutterstock and Buddy Media. I’ve included a slightly longer version of the presentation given which includes a few slides …
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 …
Learn how to integrate MongoDB with Hadoop for large-scale distributed data processing. Using tools like MapReduce, Pig 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 Hadoop MapReduce, Java and Scala programmers will find a native solution for using …
After an enjoyable time at the SORT conference in 2011 I was invited to come back to SLC to present at the RootsTech Genealogy conference. The two hardest data types to model are e-commerce and genealogy. There really just isn’t any good way to do it in a relational database. MongoDB is the answer Genealogy …
MongoDB is often used alongside a relational database such as Oracle or MySQL. It is often unclear when one should use one or the other, or if a combination is really ideal. During this online presentation, we will discuss the ideal use cases for each, and how they can be used in conjunction. We’ll make …
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