Building an Operational Data Store for an airline
Qantas is the Australian flag carrier airline, carrying nearly 50 million passengers a year. Qantas is currently embarking on some very exciting projects – many of which require real-time data.
Carrying nearly 50 million passengers a year
Key to being able to use real-time data is an Operational Data Store – a place where all data critical to keeping the business running lives; in this instance, bookings and flights data. Our background in Business Intelligence and Analytics in the airline sector, combined with our strong knowledge of Big Data tools meant that we could assist Qantas in delivering an ODS. One key aspect of the project was to demonstrate that a few, highly-skilled individuals could deliver very significant value to the business of a short space of time.
Qantas is now able to process many millions of events per day and make these available to as many consuming applications as necessary, rather than waiting days or weeks
Standardise data processing
The key to the platform is that interpretation of an event only occurs once, so downstream systems and analysts can focus on interpreting the event, rather than just wrangling the data.
Complex event processing tools can be integrated to the platform to allow Qantas to really tailor how they serve and sell to customers.
To find out more about what we’re doing for Qantas or how we’ve deployed Hadoop, MySQL, Kafka and Spark Streaming get in touch!
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