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Meet up

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

FREE: Register Now

Tuesday, 24th September at CodeNode, London

This meetup is organised by LJC: London Java Community Starts at 6:30 PM.

Come along to discover how Open Source is funded and privacy engineering in Kafka!

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?

Mauricio Salatino

Mauricio Salatino (salaboy.com) is currently the Activiti Cloud OSS (activiti.org) Tech Leader working at Alfresco. Previously Mauricio worked for Red Hat / JBoss in the Drools & jBPM projects, where he author 4 books about these projects. With more than 10 years of experience in Java and in the Business Automation field Mauricio is pushing forward to modernise a very conservative industry by following the Open Source Way.

Ryan Dawson

Ryan Dawson is a core member of the Activiti team at Alfresco (https://www.activiti.org/about), helping to drive forward the Activiti open source project. He has spent 10 years working in Java Development scene in London across a variety of industries. Marcello works in Java and front-end since more than 10 years, always in contact with opensource and communities, as coordinator for the Java User Group Milano from 2003 to 2010. Since moving to London, he’s been working for startups of any size and he’s now software architect in Alfresco for Alfresco Process Services, the enterprise BPM suite based on the open source Activiti BPM Engine.

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).

Alex Cook

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.

Thanks to our sponsors

Attending Members

Overview

Come along to discover how Open Source is funded and privacy engineering in Kafka!

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?

Mauricio Salatino

Mauricio Salatino (salaboy.com) is currently the Activiti Cloud OSS (activiti.org) Tech Leader working at Alfresco. Previously Mauricio worked for Red Hat / JBoss in the Drools & jBPM projects, where he author 4 books about these projects. With more than 10 years of experience in Java and in the Business Automation field Mauricio is pushing forward to modernise a very conservative industry by following the Open Source Way.

Ryan Dawson

Ryan Dawson is a core member of the Activiti team at Alfresco (https://www.activiti.org/about), helping to drive forward the Activiti open source project. He has spent 10 years working in Java Development scene in London across a variety of industries. Marcello works in Java and front-end since more than 10 years, always in contact with opensource and communities, as coordinator for the Java User Group Milano from 2003 to 2010. Since moving to London, he’s been working for startups of any size and he’s now software architect in Alfresco for Alfresco Process Services, the enterprise BPM suite based on the open source Activiti BPM Engine.

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).

Alex Cook

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.

Thanks to our sponsors

Who's coming?

Attending Members