How BT delivers better broadband and TV using Spark and Kafka
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.
| Talk Title | How BT delivers better broadband and TV using Spark and Kafka |
| Speakers | Phillip Radley (BT) |
| Conference | Strata Data Conference |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | May 22-24, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
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.
