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May 15, 2017
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TELUS: Bringing Real-Time to the Enterprise with HDF

With the San Jose DataWorks Summit (June 13-15) just one month away, we’re busy finalizing the lineup of an impressive array of speakers and business use cases. This year our Enterprise Adoption Track will feature Cavan Loughran, Solution and Big Data Architect of TELUS, and Oliver Meyn, Solutions Architect of T4G.

TELUS is a Canadian national telecommunications company that provides a wide range of communications products and services, including wireless, data, Internet protocol (IP), voice, television, entertainment and video. TELUS is also Canada’s largest healthcare IT provider, and TELUS International delivers business process solutions around the globe.

At TELUS, their mission is to put their customers first by focusing on customer service excellence and technology leadership to further strengthen and continuously enhance the customer experience. A TELUS TV service goal is to reduce the time-to-insight by transitioning batch processing (every 24 hours) to a near-real-time flow where service logs are generated and analyzed every 15 minutes. TELUS aims to create a flow of data-in-motion through ingest, analysis, and actions. TELUS has made significant strides towards this goal by using a combination of Hortonworks Data Platform (HDP®) and Hortonworks DataFlow (HDF™), with heavy emphasis on Apache™ NiFi and Apache™ Spark. The visibility and action of this new process allows TELUS to support its goal of creating experiences that consistently enable and delight customers.

Join Cavan and Oliver on Tuesday, June 13, at 11:30am as they present:

Bringing Real-Time to the Enterprise with Hortonworks Dataflow

Abstract:
TELUS is Canada’s fastest-growing national telecommunications company, with $12.9B of annual revenue and 12.7M customer connections. TELUS provides TELUS TV to 1.1 million customers in western Canada, with the goal of maximizing clients’ service experience. Every television set-top box (STB) in the TELUS network regularly logs its diagnostic state and those logs serve as an important signal that a customer’s services might degrade or that a device is at risk of failing.

TELUS’ goal was to move from analysis of these STB logs from a daily, batch process towards streaming analytics that would allow the company to respond within minutes to changes in a device or service health. TELUS increased logging frequency by a factor of 50 and adapted the overall architecture to keep pace with that transformation. Members of the TELUS team will walk through the implementation and workflow challenges they overcame, working with Hortonworks to connect Apache Hadoop, Apache NiFi, and Apache Spark, within a secure enterprise environment. They will also discuss the impact to their business and their customers’ satisfaction.

Speakers:
Cavan Loughran is the lead architect and design authority for evolving Big Data (Hadoop) technologies for TELUS. He is responsible for the big data strategy, technology roadmap, and supporting product teams architect big data solutions that deliver on business goals. He has 15+ years of success as a Solution Architect in leading comprehensive solutions including technology transformation, new service offerings and strategic initiatives in the Telecommunications Industry. He lives in Kelowna with his family and enjoys coaching & playing soccer and almost every other sport he squeezes time in for.

Oliver Meyn has been working in Hadoop and Big Data since 2009, with Java and SQL development extending back much further. He is excited about the promise that Apache Spark, Kafka and NiFi are showing and ready to bid good riddance to custom MapReduce programming. At T4G he is a Solutions Architect that was invited to help TELUS with the transformation of their set-top box workflow from batch to near real-time. He lives in Toronto with his family and far too many bicycles.

Be sure to register for the DataWorks Summit to catch this presentation and many others!

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