Category: MongoDB

MapReduce in MongoDB

Using MapReduce in MongoDB:

  • What are some benefits to MapReduce vs. Aggregation Pipelines
  • Parts of the mapReduce function.
  • How to create a mapReduce job.


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Robert Henkhaus is the Product Manager and a Developer at He has 5 years of experience in the oil and gas industry and was previously with ConocoPhillips supporting BD and Land in high value decision spaces. Robert has a BS in Geography with emphasis in Earth Science from Texas A&M University. Before completing school, he also served 8 years in the Army as a sniper.

Getting Started with MongoDB

This is the start of a new series we’re doing about MongoDB. We are going to take you through the ins and outs of using a NoSQl to store your data. MongoDB is one of the most popular DBMS out there and is the industry leading NoSQL database. MongoDB’s popularity stems from its speed, ease of development, and flexibility. Instead of normalizing your data into a series of related tables, Mongo allows you to store all the relevant information into a single schemaless document. This not only makes writing queries faster but depending on how you set up your database this makes your queries execute faster too.

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