Big Data, GDPR, privacySecurity and Privacy for Big Data

Practice and implement security, privacy and GDPR solutions for Big Data projects
Nyhet
Is your company’s proprietary data safe? Cyber-attacks and online threats are increasingly widespread; up-to-date information about the application of security solutions in Big Data environments is necessary.

The course Security and Privacy for Big Data will prepare you for your next project. Data security is essential for the value of your product or service. Privacy is crucial for any data processed or stored that can be associated to any individual, especially with the new data protection regulation GDPR.

This course will teach you how to design your next project on a solid basis in terms of security and privacy.

Acquire general awareness on security, privacy and GDPR aspects for Big Data projects

Objective

Practice and implement security, privacy and GDPR solutions for Big Data projects

With this course, you will learn how to identify key security and data protection issues and how to apply privacy preserving methodologies in compliance with the current regulations, with a specific focus on GDPR and related implementation recommendations.

Format and content

The course is a package of a 2-day workshop in Stockholm along with three online Modules. The workshops will be held from 8 a.m to 5 p.m in Stockholm with breakfast and lunch provided.

Hotel and travel arrangements is not included in the package.
The course is held entirely in english.

  • You will:
  • Acquire general awareness on security, privacy and GDPR aspects for Big Data projects
  • Train to identify key security and data protection risks
  • Understand what the GDPR implies for your Big Data project
  • Learn the privacy-by-design approach for Big Data environments
  • Gain valuable insights from your databases without violating the privacy of your customers

AUDIENCE

Who should attend:

Big Data Project Managers, Innovation Managers, Digital Transformation Managers, Business Intelligence Managers, as well as SME decision makers involved in a Big Data environment, who need to understand how to implement security, privacy and GDPR solutions and how such projects impact the overall strategy of a company.

Course leader

Christian Winter has a diploma degree in Mathematics from TU Darmstadt and is working at Fraunhofer SIT since 2009. He does research in the fields of IT forensics and big data with focus on efficient algorithms, fraud detection, and privacy technologies. Since several years he teaches on security and privacy in the context of big data in various course formats offered by Fraunhofer SIT.


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