How HotelTonight Streamlined their ETL Process Using IronWorker

HotelTonight has reinvented the task of finding and booking discounted hotel rooms at travel destinations. Designed for last-minute travel planners and optimized for the mobile era, HotelTonight connects adventure-seeking, impulse travelers with just-in-time available hotel rooms wherever they land.

This model has the market-enhancing effect of reducing excess inventory of unused hotel rooms, while delivering a seamless user experience and deep discount for budget travelers who enjoy impulse travel and adventure. What most travelers may not realize, is that behind the scenes at HotelTonight lies a massive business intelligence system that uses a sophisticated cloud-based ETL platform that collects, converts, and stores data from multiple external services.

Continue reading “How HotelTonight Streamlined their ETL Process Using IronWorker”

How HotelTonight uses Iron.io and AWS Redshift to create Ruby-based ETL pipeline (repost)


Creating an ETL pipeline with Iron.io and Redshift

Operating at scale in the cloud almost always equates to having a highly distributed system architecture in place to handle workloads by auto-scaling components out horizontally

Harlow Ward is a developer at HotelTonight and he put together a great post on how they handle issues of scale. In it he talks about their use of Iron.io and Amazon’s Redshift offering to create a simple highly scalable ETL pipeline. Continue reading “How HotelTonight uses Iron.io and AWS Redshift to create Ruby-based ETL pipeline (repost)”