Data Privacy Fundamentals

• Titel: Data Privacy Fundamentals
• Titelzusatz: Understanding Privacy Risk and Deploying Privacy-Preserving Technologies
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: O'Reilly Media, Inc.
• Jahr: 2025
• Umfang: 1 online resource (1 video file)
• Fussnoten: Machine-generated record
• Datenträger: Online-Ressource
• Sprache: und
• Sach-SW: Protection de l'information (Informatique)
• Sach-SW: Intelligence artificielle
• Sach-SW: Intelligence artificielle ; Informatique
• Sach-SW: artificial intelligence
• Form-SW: Instructional films
• Form-SW: Nonfiction films
• Form-SW: Internet videos
• Form-SW: Films de formation
• Form-SW: Films autres que de fiction
• Form-SW: Vidéos sur Internet
• K10plus-PPN: 1916328628
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4660770443
• Lokale URL Inst.: Zum Volltext

Abstract

In the face of increasing regulation, rising consumer demand, and growing industry investment, data privacy is becoming a vital area within data engineering, data science, machine learning (ML), and artificial intelligence (AI). Whether you aim to work in advertising, healthcare, e-commerce, or Big Tech, understanding data privacy concepts and technologies is essential. This course will guide you through these critical discussions and introduce you to the burgeoning field of privacy engineering, focusing on some of the most prominent new technologies available. This on-demand course covers best practices for tackling data privacy challenges using a hands-on marketing data-based use case. Through concise presentations and practical assessments, you’ll learn to navigate decisions around privacy risk and evaluate various privacy technologies. These include anonymization via differential privacy, federated learning and analytics, and secure data sharing through encrypted computation. By the end, you’ll grasp how privacy technologies can enhance data security and compliance for data teams and gain insights on managing organizational and legal conversations concerning sensitive data use.