Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Schedule: Telecom sessions

12:05–12:45 Wednesday, 23 May 2018
The app trap: Why every mobile app and mobile operator needs anomaly detection
Data-driven business management, Strata Business Summit, Streaming systems and real-time applications
 Location: Capital Suite 15/16 Level: Intermediate
Ira Cohen (Anodot)
The mobile world has so many moving parts that a simple change to one element can cause havoc somewhere else, resulting in issues that annoy users and cause revenue leaks. Ira Cohen outlines ways to use anomaly detection to track everything mobile, from the service and roaming to specific apps, to fully optimize your mobile offerings. Read more.
12:05–12:45 Wednesday, 23 May 2018
How BT delivers better broadband and TV using Spark and Kafka
Data engineering and architecture
 Location: Capital Suite 8/9 Level: Beginner
Phillip Radley (BT)
Average rating: ***..
(3.67, 3 ratings)
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. Read more.
14:05–14:45 Wednesday, 23 May 2018
StreamDM: Advanced data science with Spark Streaming
Data science and machine learning, Streaming systems and real-time applications
 Location: Capital Suite 12 Level: Intermediate
Heitor Murilo Gomes (Télécom ParisTech), Albert Bifet (Télécom ParisTech)
Average rating: ***..
(3.00, 1 rating)
Heitor Murilo Gomes and Albert Bifet offer an overview of StreamDM, a real-time analytics open source software library built on top of Spark Streaming, developed at Huawei's Noah’s Ark Lab and Télécom ParisTech. Read more.
14:05–14:45 Thursday, 24 May 2018
Executive Briefing: Data privacy in the age of the internet of things
Executive Briefing, Law, ethics, and governance, Strata Business Summit
 Location: Capital Suite 17 Level: Beginner
Alasdair Allan (Babilim Light Industries)
The increasing ubiquity of the internet of things has put a new focus on data privacy. Big data is all very well when it's harvested quietly and stealthily, but when your things tattle on you behind your back, it's a very different matter altogether. Alasdair Allan explains why the internet of things brings with it a whole new set of big data problems that can't be ignored. Read more.
14:05–14:45 Thursday, 24 May 2018
The Data Intelligence Hub: On-demand Hadoop resource provisioning in Europe’s Industrial Data Space using Cloudera Altus
Big data and data science in the cloud, Data science and machine learning
 Location: Capital Suite 2/3 Level: Intermediate
Sven Loeffler (Deutsche Telekom)
Average rating: **...
(2.00, 1 rating)
Sven Löffler offers an overview of the Data Intelligence Hub, T-Systems's implementation of the Fraunhofer Industrial Data Space: a reference architecture for the standardized and secure data exchange between industries in the context of the internet of things. Read more.