book

Data Governance: The Definitive Guide

by Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown

March 2021

Beginner to intermediate

251 pages

7h 37m

English

O'Reilly Media, Inc.

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Why Your Business Needs Data Governance in the CloudFramework and Best Practices for Data Governance in the CloudData Governance FrameworkOperationalizing Data Governance in Your OrganizationThe Business Benefits of Robust Data GovernanceWho Is This Book For?Conventions Used in This BookO’Reilly Online LearningHow to Contact UsAcknowledgments
What Data Governance InvolvesHolistic Approach to Data GovernanceEnhancing Trust in DataClassification and Access ControlData Governance Versus Data Enablement and Data SecurityWhy Data Governance Is Becoming More ImportantThe Size of Data Is GrowingThe Number of People Working and/or Viewing the Data Has Grown ExponentiallyMethods of Data Collection Have AdvancedMore Kinds of Data (Including More Sensitive Data) Are Now Being CollectedThe Use Cases for Data Have ExpandedNew Regulations and Laws Around the Treatment of DataEthical Concerns Around the Use of DataExamples of Data Governance in ActionManaging Discoverability, Security, and AccountabilityImproving Data QualityThe Business Value of Data GovernanceFostering InnovationThe Tension Between Data Governance and Democratizing Data AnalysisManage Risk (Theft, Misuse, Data Corruption)Regulatory ComplianceConsiderations for Organizations as They Think About Data GovernanceWhy Data Governance Is Easier in the Public CloudLocationReduced Surface AreaEphemeral ComputeServerless and PowerfulLabeled ResourcesSecurity in a Hybrid WorldSummary
The Enterprise DictionaryData ClassesData Classes and PoliciesData Classification and OrganizationData Cataloging and Metadata ManagementData Assessment and ProfilingData QualityLineage TrackingKey Management and EncryptionData Retention and Data DeletionWorkflow Management for Data AcquisitionIAM—Identity and Access ManagementUser Authorization and Access ManagementSummary
The People: Roles, Responsibilities, and HatsUser Hats DefinedData Enrichment and Its ImportanceThe Process: Diverse Companies, Diverse Needs and Approaches to Data GovernanceLegacyCloud Native/Digital OnlyRetailHighly RegulatedSmall CompaniesLarge CompaniesPeople and Process Together: Considerations, Issues, and Some Successful StrategiesConsiderations and IssuesProcesses and Strategies with Varying SuccessSummary
What Is a Data Life Cycle?Phases of a Data Life CycleData CreationData ProcessingData StorageData UsageData ArchivingData DestructionData Life Cycle ManagementData Management PlanApplying Governance over the Data Life CycleData Governance FrameworkData Governance in PracticeExample of How Data Moves Through a Data PlatformOperationalizing Data GovernanceWhat Is a Data Governance Policy?Importance of a Data Governance PolicyDeveloping a Data Governance PolicyData Governance Policy StructureRoles and ResponsibilitiesStep-by-Step GuidanceConsiderations for Governance Across a Data Life CycleSummary
What Is Data Quality?Why Is Data Quality Important?Data Quality in Big Data AnalyticsData Quality in AI/ML ModelsWhy Is Data Quality a Part of a Data Governance Program?Techniques for Data QualityScorecardPrioritizationAnnotationProfilingSummary
Data TransformationsLineageWhy Lineage Is UsefulHow to Collect LineageTypes of LineageThe Fourth DimensionHow to Govern Data in FlightPolicy Management, Simulation, Monitoring, Change ManagementAudit, ComplianceSummary
Planning ProtectionLineage and QualityLevel of ProtectionClassificationData Protection in the CloudMulti-TenancySecurity SurfaceVirtual Machine SecurityPhysical SecurityNetwork SecuritySecurity in TransitData ExfiltrationVirtual Private Cloud Service Controls (VPC-SC)Secure CodeZero-Trust ModelIdentity and Access ManagementAuthenticationAuthorizationPoliciesData Loss PreventionEncryptionDifferential PrivacyAccess TransparencyKeeping Data Protection AgileSecurity Health AnalyticsData LineageEvent Threat DetectionData Protection Best PracticesSeparated Network DesignsPhysical SecurityPortable Device Encryption and PolicyData Deletion ProcessSummary
What Is Monitoring?Why Perform Monitoring?What Should You Monitor?Data Quality MonitoringData Lineage MonitoringCompliance MonitoringProgram Performance MonitoringSecurity MonitoringWhat Is a Monitoring System?Analysis in Real TimeSystem AlertsNotificationsReporting/AnalyticsGraphic VisualizationCustomizationMonitoring CriteriaImportant Reminders for MonitoringSummary
Data Culture: What It Is and Why It’s ImportantStarting at the Top—Benefits of Data Governance to the BusinessAnalytics and the Bottom LineCompany Persona and PerceptionIntention, Training, and CommunicationsA Data Culture Needs to Be IntentionalTraining: Who Needs to Know WhatBeyond Data LiteracyMotivation and Its Cascading EffectsMaintaining AgilityRequirements, Regulations, and ComplianceThe Importance of Data StructureScaling the Governance Process Up and DownInterplay with Legal and SecurityStaying on Top of RegulationsCommunicationInterplay in ActionAgility Is Still KeyIncident HandlingWhen “Everyone” Is Responsible, No One Is ResponsibleImportance of TransparencyWhat It Means to Be TransparentBuilding Internal TrustBuilding External TrustSetting an ExampleSummary

The Business Case for Google’s Data GovernanceThe Scale of Google’s Data GovernanceGoogle’s Governance ProcessHow Does Google Handle Data?Privacy Safe—ADH as a Case Study

Content preview from Data Governance: The Definitive Guide

Appendix B. Additional Resources

The following are some of the works we consulted while writing this book. This is not intended to be a complete list of the resources we used, but we hope that some of you will find this selection helpful as you learn more about data governance.