Apache Flink® & everything streaming data
Speakers
Berlin 2019
About the speakers
Meet the experts from global companies like Airbus, Amazon, ING, Lyft, Netflix, Uber, and many more, who have built scalable streaming infrastructure and enterprise-grade applications.
Hear why and how they use Flink as the stream processing engine of choice for large-scale stateful applications, including real-time analytics, real-time search and content ranking, fraud/anomaly/threat detection.
Speakers
- Zainab AbbasPhD StudentKTH
Zainab Abbas is a PhD student at the KTH Royal Institute of Technology, Stockholm, and the Université catholique de Louvain, Louvain La-Neuve. She holds a joint masters degree from KTH, Stockholm, and the Polytechnic University of Catalonia (UPC), Barcelona, in Distributed Systems. Her research work is focused on performance optimization techniques for large-scale data. In particular, stream processing using modern data stream processing engines, i.e. Apache Flink.
- Adrian AckvaResearch InternKTH
Adrian Ackva is a System Research Intern at Research Institutes of Sweden (RISE). He has a background in Business Information Systems and is about to finish M. Sc. degrees specialized in data-intensive computing at KTH Royal Institute of Technology Stockholm and University of Rennes 1. Before his Master studies, he worked as a technical consultant in different projects in Germany and England, helping to get their infrastructure scalable and automated.
- Enrico AgnoliSoftware EngineerWorkday
Agnoli Enrico is a Software Engineer at Workday. During the last 5 years, he worked on multiple technical projects as a developer, tech lead and people manager at different stages. Currently involvements:
- As architect and developer to technically lead the delivery of a new DataStreaming platform to support ML
- Investigate new technologies and deliver POC for possible new tools/products, like streaming platforms, blockchain, audibility of machine learning models and data security
- Being part of the Workday Giving&Doing foundation, he helps to organize events and raise awareness on various causes / nonprofit groups.Studied at Politecnico of Milan and moved to Germany right after to work first on Honda’s ASIMO humanoid robots, then on automation software in one of Europe biggest datacenter for Amadeus and finally for Workday, #1 Future Fortune company of 2018. Workday's innovator of the year in 2018 for a research project on Blockchain.
- Adil AkhterLead EngineerING
Adil Akhter is a functional programmer with a focus on distributed system engineering and data-intensive application architecture. He works at ING as a Lead Engineer and involved in building a state-of-the-art Prediction Serving system. He is passionate about technology and interested in category theory, streaming analytics, scalable machine learning infrastructure, and so on. In his spare time, he hacks with Haskell and Idris, speaks at different conferences, or organises meetups.
- Jesse AndersonManaging DirectorBig Data Institute
Jesse Anderson is a Data Engineer, Creative Engineer and Managing Director of Big Data Institute.
He works with companies ranging from startups to Fortune 100 companies on Big Data. This includes training on cutting edge technologies like Apache Kafka, Apache Hadoop and Apache Spark. He has taught over 30,000 people the skills to become data engineers.
He is widely regarded as an expert in the field and for his novel teaching practices. Jesse is published on O’Reilly and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.
- Nikolas AndersonSoftware EngineerUber
Nikolas is a software engineer on Uber's Driving Safety team, where he works on using sensor/context-derived insights to make inferences about events that Uber drivers experience and acting on this knowledge accordingly. Previously, Nikolas studied Mathematics and Statistics at the University of Chicago.
- Marton BalassiManager, Streaming AnalyticsCloudera
Marton is a Flink PMC member and one of the first contributors to the streaming API. He has driven big data adoption at around 50 customers as a Senior Solutions Architect at Cloudera during the last four years. He is the manager of the newly formed Streaming Analytics team and focuses on adding Flink to the Cloudera platform.
- Niels BasjesPrincipal IT Architectbol.com
Niels Basjes (1971) has been working for bol.com since May 2008. Before that, he was working as a Webanalytics architect for Moniforce, and as an IT architect/researcher at the National Aerospace Laboratory in Amsterdam. Since the second half of the 1990s he has been working on processing problems that require scalability. He has applied these concepts in the past 20 years in aircraft/runway planning, IT operations and in the field of web analytics to build reports for some of the biggest websites in the Netherlands. Also at bol.com the primary focus of Niels Basjes are scalability problems and he is responsible for a shift in thinking about data and the business value it contains. Niels designed and implemented many of the personalization algorithms that are in production today at bol.com. Niels studied Computer Science at the TU Delft, and has Business administration degree at Nyenrode University. Niels is an active opensource developer who is one of the Apache Avro PMC members and has authored ( https://github.com/nielsbasjes/ ) and contributed various improvements and bugfixes to projects like Hadoop, HBase, Pig and Flink.
- Julia BennettSenior Data EngineerNetflix
Julia Bennett is a member of the data engineering team for personalization at Netflix that delivers recommendations made for each user. The team is responsible for building large scale data processing used in training and scoring of the various machine learning models that power the Netflix UI experience. They have recently been working on moving some of the company’s core datasets from being processed in a once-a-day daily batch ETL to being processed in near real time using Apache Flink. Before joining Netflix, Julia completed her PhD in mathematics from The University of Texas At Austin.
- Matthew BrookesMaster's StudentETH Zurich
Studied Computing at Imperial College London which included a year-long exchange program to ETH Zurich. Wrote Master's Thesis as part of the Strymon group under the supervision of Vasia Kalavri and John Liagouris. In September 2019 began a Backend Engineer position at Monzo, London. Interested in Stream Processing and Data-Intensive Applications.
- Jamie ChittendenLead Data ArchitectEmirates NBD
Jamie has been working with data for 13+ years, began his data career as an ETL developer, and now finds himself in the world of stream processing.
Over the past 4 years Jamie has been leading stream processing implementations, from the design of the dataflows, to building the engineering capabilities to support the implementation, across two banks, in two geographical locations. - Michal CiesielczykMachine Learning EngineerDeep.BI
Michał Ciesielczyk is a Machine Learning Engineer at Deep.BI. He is responsible for researching, building and integrating machine learning tools with a variety of technologies including Scala, Python, Flink, Kafka, Spark, and Cassandra. Previously, he worked as an assistant professor at Poznan University of Technology, where he received a Ph.D. in computer science and was a member of a research team working on numerous scientific and R&D projects. He has published more than 15 refereed journal and conference papers in the areas of recommender systems and machine learning.