Small Startup Path of Treachery to Big Travel Data

A session at Big Data TechCon Chicago 2015

  • dan morgan
  • Adam Yala

We started with the goal of developing a predictive model for flight pricing using data feeds from Airline Global Distribution systems, Online Travel Agency feeds, and external behavioral data sets. The implementation is done using a sharded MongoDB cluster for storage and python for computation. We'll discuss hurdles from company size, technical, business, and data perspectives. We'll also step through the strategy we used to take our large data sets and allow our analysts to query it. By the end of the talk, you should know how to normalize multiple large feeds in Mongo and learn from our mistakes.
Level: Intermediate

Tracks: NoSQL

About the speakers

This person is speaking at this event.
dan morgan

Dan is a master web application developer whose expertise lies in full life-cycle web development.

This person is speaking at this event.
Adam Yala

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Date Mon 2nd November 2015

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