While the case for a streaming pipeline came with a good "that's neat" factor, the business case was much more difficult. When streaming, real-time, data isn't part of the current business line there are special challenges to argue for building it.
This presentation will tell the story of how T-Mobile worked with Lightbend to put together a compelling case that streaming, reactive, data was more than just for nifty dashboards but could also reduce costs, maximize resources, and improve batch processing while laying a foundation for a whole new way of thinking about our customers and our data.
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Principal Fast Data Architect
Jeffrey Sewell is a longtime wireless data engineer. He spent 10 years at Clearwire where he introduced Hadoop and the value of data to a company that was doing high-speed wireless before it was a thing.
He is the Principal Architect of the streaming data pipeline moving and analyzing hundreds of terabytes of data every day to improve the quality of customer experience.