
Data Governance: The Definitive Guide
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Cover
- Copyright
- Table of Contents
- Preface
- Why Your Business Needs Data Governance in the Cloud
- Framework and Best Practices for Data Governance in the Cloud
- Data Governance Framework
- Operationalizing Data Governance in Your Organization
- The Business Benefits of Robust Data Governance
- Who Is This Book For?
- Conventions Used in This Book
- O'Reilly Online Learning
- How to Contact Us
- Acknowledgments
- Chapter 1. What Is Data Governance?
- What Data Governance Involves
- Holistic Approach to Data Governance
- Enhancing Trust in Data
- Classification and Access Control
- Data Governance Versus Data Enablement and Data Security
- Why Data Governance Is Becoming More Important
- The Size of Data Is Growing
- The Number of People Working and/or Viewing the Data Has Grown Exponentially
- Methods of Data Collection Have Advanced
- More Kinds of Data (Including More Sensitive Data) Are Now Being Collected
- The Use Cases for Data Have Expanded
- New Regulations and Laws Around the Treatment of Data
- Ethical Concerns Around the Use of Data
- Examples of Data Governance in Action
- Managing Discoverability, Security, and Accountability
- Improving Data Quality
- The Business Value of Data Governance
- Fostering Innovation
- The Tension Between Data Governance and Democratizing Data Analysis
- Manage Risk (Theft, Misuse, Data Corruption)
- Regulatory Compliance
- Considerations for Organizations as They Think About Data Governance
- Why Data Governance Is Easier in the Public Cloud
- Location
- Reduced Surface Area
- Ephemeral Compute
- Serverless and Powerful
- Labeled Resources
- Security in a Hybrid World
- Summary
- Chapter 2. Ingredients of Data Governance: Tools
- The Enterprise Dictionary
- Summary
- Chapter 3. Ingredients of Data Governance: People and Processes
- The People: Roles, Responsibilities, and Hats
- User Hats Defined
- Data Enrichment and Its Importance
- The Process: Diverse Companies, Diverse Needs and Approaches to Data Governance
- Legacy
- Cloud Native/Digital Only
- Retail
- Highly Regulated
- Small Companies
- Large Companies
- People and Process Together: Considerations, Issues, and Some Successful Strategies
- Considerations and Issues
- Processes and Strategies with Varying Success
- Summary
- Chapter 4. Data Governance over a Data Life Cycle
- What Is a Data Life Cycle?
- Phases of a Data Life Cycle
- Data Creation
- Data Processing
- Data Storage
- Data Usage
- Data Archiving
- Data Destruction
- Data Life Cycle Management
- Applying Governance over the Data Life Cycle
- Data Governance Framework
- Data Governance in Practice
- Example of How Data Moves Through a Data Platform
- Operationalizing Data Governance
- What Is a Data Governance Policy?
- Importance of a Data Governance Policy
- Developing a Data Governance Policy
- Data Governance Policy Structure
- Roles and Responsibilities
- Step-by-Step Guidance
- Considerations for Governance Across a Data Life Cycle
- Summary
- Chapter 5. Improving Data Quality
- What Is Data Quality?
- Why Is Data Quality Important?
- Data Quality in Big Data Analytics
- Data Quality in AI/ML Models
- Why Is Data Quality a Part of a Data Governance Program?
- Techniques for Data Quality
- Scorecard
- Prioritization
- Annotation
- Profiling
- Summary
- Chapter 6. Governance of Data in Flight
- Data Transformations
- Lineage
- Why Lineage Is Useful
- How to Collect Lineage
- Types of Lineage
- The Fourth Dimension
- How to Govern Data in Flight
- Policy Management, Simulation, Monitoring, Change Management
- Audit, Compliance
- Summary
- Chapter 7. Data Protection
- Planning Protection
- Lineage and Quality
- Level of Protection
- Classification
- Data Protection in the Cloud
- Multi-Tenancy
- Security Surface
- Virtual Machine Security
- Physical Security
- Network Security
- Security in Transit
- Data Exfiltration
- Virtual Private Cloud Service Controls (VPC-SC)
- Secure Code
- Zero-Trust Model
- Identity and Access Management
- Authentication
- Authorization
- Policies
- Data Loss Prevention
- Encryption
- Differential Privacy
- Access Transparency
- Keeping Data Protection Agile
- Security Health Analytics
- Data Lineage
- Event Threat Detection
- Data Protection Best Practices
- Separated Network Designs
- Physical Security
- Portable Device Encryption and Policy
- Data Deletion Process
- Summary
- Chapter 8. Monitoring
- What Is Monitoring?
- Why Perform Monitoring?
- What Should You Monitor?
- Data Quality Monitoring
- Data Lineage Monitoring
- Compliance Monitoring
- Program Performance Monitoring
- Security Monitoring
- What Is a Monitoring System?
- Analysis in Real Time
- System Alerts
- Notifications
- Reporting/Analytics
- Graphic Visualization
- Customization
- Monitoring Criteria
- Important Reminders for Monitoring
- Summary
- Chapter 9. Building a Culture of Data Privacy and Security
- Data Culture: What It Is and Why It's Important
- Starting at the Top-Benefits of Data Governance to the Business
- Analytics and the Bottom Line
- Company Persona and Perception
- Intention, Training, and Communications
- A Data Culture Needs to Be Intentional
- Training: Who Needs to Know What
- Beyond Data Literacy
- Motivation and Its Cascading Effects
- Maintaining Agility
- Requirements, Regulations, and Compliance
- The Importance of Data Structure
- Scaling the Governance Process Up and Down
- Interplay with Legal and Security
- Staying on Top of Regulations
- Communication
- Interplay in Action
- Agility Is Still Key
- Incident Handling
- When "Everyone" Is Responsible, No One Is Responsible
- Importance of Transparency
- What It Means to Be Transparent
- Building Internal Trust
- Building External Trust
- Setting an Example
- Summary
- Appendix A. Google's Internal Data Governance
- The Business Case for Google's Data Governance
- The Scale of Google's Data Governance
- Google's Governance Process
- How Does Google Handle Data?
- Privacy Safe-ADH as a Case Study
- Appendix B. Additional Resources
- Index
- About the Authors
- Colophon
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.