5 Common GDPR Misconceptions You Need to Understand
With GDPR regulations coming into force this month, data teams are scrambling to comply. But there are a lot of misconceptions out there to
Tomas Honzak serves as the head of security and compliance at GoodData, where he built an Information Security Management System compliant with SOC 2 and HIPAA, enabling the company to help Fortune 500 companies distribute customized analytics to their business ecosystem. Tomas finds his passion in enabling synergies between agile methodologies and standards-based process approach and is a DevOpsSec enthusiast. Prior to his position at GoodData he led the Quality, Business Processes and Security department at Acision, a former Logica Mobile Networks division. He lives in Prague, Czech Republic and holds an M.Sc. from Charles University, the oldest university in Central Europe.
With GDPR regulations coming into force this month, data teams are scrambling to comply. But there are a lot of misconceptions out there to
Follow these best practices for data lake management to ensure your organization can make the most of your investment.
The need for automated data pipelines is clear. What role will data scientists play in bringing them about?
Developing an enterprise-ready application that is based on machine learning requires multiple types of developers.
Cloud optimization could offer the best method for reducing costs according to a new report.