با انتقال دادهها به فضای ابری (Cloud)، نیاز به رویکردی جامع برای حکمرانی داده (Data Governance) و سیاستهای توافقشده برای رعایت الزامات قانونی بیش از پیش احساس میشود. این کتاب به شما نشان میدهد که چگونه با هماهنگسازی افراد، فرآیندها و فناوری، اعتماد به دادهها را تضمین کرده و از آنها به شکلی مؤثر استفاده کنید. مدیران ارشد اطلاعات و امنیت با مطالعه این راهنما، استراتژیها و ابزارهایی را برای دموکراتیزه کردن دادهها (Data Democratization) و آزادسازی ارزش آنها، همزمان با اعمال استانداردهای امنیتی و حریم خصوصی میآموزند. با پیادهسازی حکمرانی داده، سازمانها میتوانند اعتماد مشتریان را جلب کرده، کارایی کسبوکار را بهبود بخشند و تجربهای رقابتیتر ارائه دهند. این کتاب به شما کمک میکند تا فرهنگ دادهمحور را در سازمان خود نهادینه کنید.
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حکمرانی داده چیست؟
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
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اجزای حکمرانی داده: ابزارها
The Enterprise Dictionary • Data Classes • Data Classes and Policies • Data Classification and Organization • Data Cataloging and Metadata Management • Data Assessment and Profiling • Data Quality • Lineage Tracking • Key Management and Encryption • Data Retention and Data Deletion • Workflow Management for Data Acquisition • IAM—Identity and Access Management • User Authorization and Access Management • Summary
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اجزای حکمرانی داده: افراد و فرآیندها
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
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حکمرانی داده در چرخه حیات داده
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 • Data Management Plan • 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
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بهبود کیفیت داده
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
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حکمرانی داده در حال انتقال
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
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حفاظت از داده
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
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نظارت
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
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ایجاد فرهنگ حریم خصوصی و امنیت داده
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
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