Privitar

In:Operation - Data practitioners breakfast

Managing large amount of sensitive data in cloud environments can be intimidating. It doesn’t have to be. You can easily apply some of the industry best practices to your big data operations, for various use cases.

 

Who should attend?

Data Architects / Data Protection Officers / Data Engineers / Solution Engineers and Solution Architects.

Why you should attend?

  • Learn how to de-identify sensitive data before migrating it to the cloud.
  • Learn how to enable broader data use while minimising privacy risk.
  • Discover industry best practices from leading data practitioners.
  • This will be a unique chance to enjoy exceptional food in an iconic setting and an opportunity to discuss your pressing challenges related to big data management, privacy engineering and cloud migration.

 

Agenda

  • 8:00am - 8:30am - Arrival and coffee
  • 8.30am - 9.00am - Breakfast
  • 9:00am - 9:30am - Presentations
  • 9:30am - 10:00am - Interactive Q&A
  • 10:00am - Close


These events are usually oversubscribed, so please RSVP as soon as possible. We look forward to seeing you there.

Speaker

Abigail Dubiniecki, CIPM - Data Privacy Specialist

Abigail Dubiniecki is a UK-based speaker, educator, writer and lawyer specialising in data privacy and trade. She has spoken before a range of audiences at events run by IAPP, CBA, Canada-UK Chamber of Commerce, OWIT and the Data Protection World Forum. A former Associate of Henley Business School, Abigail trained senior executives of top global brands on GDPR and developed content for an in-depth online GDPR program. More recently she has contributed to the privacy engineering module of U of T’s ‘Privacy Management in the Digital Enterprise’ certificate.

 

Calendar

15th May 2019
08:00am - 10:00am

 

Location

Hawksmoor Restaurant,
10 Basinghall St,
London EC2V 5BQ

 

 

Tickets

Free
by invitation only

 

 

AWS_SASteveSofianSpeaker:

Abigail Dubiniecki, CIPM,
Data Privacy Specialist at My Inhouse Lawyer

Register your interest

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