BT launched its production big data platform in 2014, which was mainly used for batch processing, ETL, and sandpits. In the past year, British Telecom has added a streaming network analytics use case to its multitenant data platform. Phillip Radley demonstrates how the solution works and explains how it delivers better broadband and TV services, using Kafka and Spark on YARN and HDFS encryption. Join in to learn the work required to refresh a big data platform so that it can deliver mission-critical streaming analytics.
Phillip Radley is chief data architect on BT’s core enterprise architecture team, where he’s responsible for data architecture across BT Group Plc. Based at BT’s Adastral Park campus in the UK, Phill leads BT’s MDM and big data initiatives, driving associated strategic architecture and investment roadmaps for the business. Phill has worked in IT and the communications industry for 30 years, mostly with British Telecommunications Plc., and his previous roles in BT include nine years as chief architect for infrastructure performance-management solutions from UK consumer broadband to outsourced Fortune 500 networks and high-performance trading networks. He has broad global experience, including with BT’s Concert global venture in the US and five years as an Asia Pacific BSS/OSS architect based in Sydney. Phill is a physics graduate with an MBA.
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