How Open Source is Funded & Privacy Engineering for the World of Kafka

Details

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How Open Source is Funded - The Enterprise Differentiation Tightrope

The java world has a wealth of great open source projects managed by innovative companies - the Pivotal Spring ecosystem, Confluent and Kafka, Elasticsearch, the Hadoop stack, RedHat and many more. But where does the money come from? How do these companies fund open source without compromising on openness?

Privacy Engineering for the World of Kafka

The privacy and security risks associated with using sensitive data can mean that long approval processes counter the ease of engineering and time-saving benefits that Kafka provides. In this talk Alex Cook will cover privacy attacks that Kafka data streams are particularly vulnerable to, and general techniques that can help thwart these attacks. He will go on to propose an architectural pattern where innovation around streaming sensitive data is performed in dedicated safe-zones that protect the privacy of customer data and data subjects.

Finally, he'll discuss how a collaboration between Privitar and Confluent has introduced cutting-edge Privacy Engineering techniques to the world of Kafka streaming data through our Privitar Publisher Kafka Connector. This Connector creates safe-zones for data, called Protected Data Domains, which enable separate teams to work on data streams made safe by applying easily-customizable privacy policies that are managed for each Kafka Topic. These managed data releases are watermarked for traceability and retain referential integrity but cannot be linked to each other (a significant privacy and security risk).

About the speakers

Mauricio Salatino has 10+ years of experience working on Open Source projects (jBPM, Drools, Activiti Cloud, JHipster, Spring Cloud, Jenkins X) and now works at @Camunda for the http://zeebe.io project which provides a Workflow Engine for Microservices Orchestration on Kubernetes.

Ryan Dawson is a core member of the seldon open source team, providing tooling for machine learning deployments to Kubernetes (https://github.com/SeldonIO/seldon-core/). He has spent 10 years working in the Java Development scene in London across a variety of industries.

Alex Cook is a core member of the Software Engineering team at Privitar - https://www.privitar.com/. Alex is part of a team creating Data Privacy software to enable organisations to perform Machine Learning and Data Science on consumer’s data, but in an ethical, safe and privacy preserving way.

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Agenda

6.30pm: Doors open/Registration

7 pm: How Open Source is Funded - The Enterprise Differentiation Tightrope - Mauricio Salatino and Ryan Dawson (approx 30 minutes)

7.30pm: Privacy Engineering for the World of Kafka - Alex Cook (approx 40 minutes)

A big thanks to Skills Matter for hosting us.

This event is organised by RecWorks on behalf of the London Java Community.

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