EVENT » ROADSHOW
Fast Data Roadshow London
Build your understanding of streaming data architecture with a half-day free technical roundtable
24 January 2017
Big Data Gets Real (Time)
You don’t have time to wait for the next batch job to extract useful information from that data that just arrived. The world of Big Data is evolving to Fast Data, processing streams of data as they arrive, rather than running batch jobs later.
But there are risks involved. There are so many choices; what tools should you use? How do you avoid making rookie mistakes? What are the best patterns and practices for streaming applications?
Technical experts from Lightbend and Mesosphere are hosting a half-day free roundtable and tasty lunch with 50 architects in your city so you can learn how your peers are leveraging Akka Streams, Kafka, and Spark Streaming to build and run distributed fast data pipelines.
12:00pm Welcome and Lunch
12:30pm Presentations and Roundtable Discussions
3:00pm Closing Remarks
There is no cost to participate. However, to create an environment for effective collaboration and learning, seating is limited.
Dean Wampler, Ph.D., Office of the CTO and Big Data Architect, Lightbend
Dean Wampler, Ph.D. is the Vice President of Fast Data Engineering at Lightbend, where he leads the creation of the Lightbend Fast Data Platform, a streaming data platform built on the Lightbend Reactive Platform, Kafka, Spark, Flink, and Mesosphere DC/OS. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects and he is the co-organizer of several conferences around the world and several user groups in Chicago.
Tony Parker, Head of EMEA Sales, Mesosphere, Inc.
Tony Parker is Head of EMEA Sales at Mesosphere. As a Senior Business Development Professional having worked in both a management capacity and directly in the field, Tony's specialities include PLM, Supply Chain, CRM, Business Intelligence, ETL, Middleware, SOA, Integration, Analytics, and Networking.
Steven Laan, Product Owner and Advanced Realtime Analytics Dev Engineer, ING Group
At ING, Steven Laan is a Dev engineer and the Product Owner of the Real-time Analytics squad. The primary focus of the team is to build the forecasting engine that drives the "Kijk vooruit" feature in the mobile app. Steven studied Artificial Intelligence with a focus on machine learning and intelligent systems. After graduating with honor (cum laude) he fulfilled several roles in different departments at ING. For example, he got his hands dirty in front-end development, continuous delivery pipelines and teaching Scala courses. Currently his main programming languages are Scala for production code and Python for experiments.