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Wednesday, May 22 • 16:45 - 17:20
The Data Analytics Platform or How to Make Data Science in a Box Possible - Krzysztof Adamski & Rob Keevil, ING

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The Hadoop and FOSS revolution has reshaped the data analytics landscape. In the search for creating a cutting-edge data platform at ING, we are faced with challenging new requirements such as cloud-ready deployments and frictionless progressions of Machine Learning models into production, whilst ensuring proper data governance and security principals.
Please join us in this session, where we will share ING WBAA’s experience on how to make a data platform based on open source components both enterprise and cloud ready, with an overview of current state and vision of our platform. We will cover the topics such as self-service automation to support machine learning use cases, the usage of distributed frameworks like spark on top of kubernetes and how to prepare the foundation (infrastructure components) within the enterprise environment.
Speakers
avatar for Krzysztof Adamski

Krzysztof Adamski

Data Infrastructure Architect, ING
Over 10 years of experience working with data and maintaining data platform from RDBMS, through DWH, Hadoop to cloud environments. From the architecture design decisions till full production support. Got his hands dirty managing 2500 Hadoop cluster at Spotify and taking a part in... Read More →
RK

Rob Keevil

Data Analytics Platform lead, ING
Rob is a Solution Architect and developer for Big Data applications, with 10 years experience working in financial services and counter-fraud domains. He’s currently working with ING Netherlands in their Advanced Analytics team. The team is an “internal start up,” which aims... Read More →

ING Data Analytics Platform pdf
Wednesday May 22, 2019 16:45 - 17:20 CEST
Hall 8.0 F1
  Machine Learning + Data