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Optimizing the Booking Experience with Big Data

Hotels.com Case Study

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Hotels.com® provides a service for reserving hotels, B&Bs and other types of commercial lodgings, helping millions of customers around the globe. It offers 90 localized websites in 41 languages and hundreds of thousands of places to stay in more than 200 countries and territories. The company became a part of Expedia, Inc. in 2001.

  • Migrating data warehousing from relational databases to Hadoop
  • Real-time data analytics providing instant insights and benefits for customer experience
  • Aggregating customer data from regional website sources to draw universal insights
  • Ability to discover, explore and share various datasets to generate valuable insights across the entire organization

Challenge

Hotels.com was finding it difficult to cope with the vast amounts of data coming through its search engine marketing. The company needed a technology partner able to deliver data analysis at scale, narrowing the gap between query and booking stages.

Solution

Hotels.com decide to move its data management into the scalable world of Hadoop, deploying on HDP. Now almost all data processing at scale has been moved over to the platform. This has involved moving from batch based systems to stream based processing.

Results

Using HDP has generated an open ecosystem for data analysis that data scientists can use across the organization. Now data can be analyzed multiple times daily on a granular level, including different types of traffic, customers, and devices they use.

Elliot West

Principal Systems Engineer, Hotels.com

HDP is a rich platform, it’s a very big ecosystem and it gives us the ability to innovate. There’s a wide range of tools, so it gives our developers lots of choice when it comes to choosing what technologies can help solve their problem.