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BCM2205 Mastering ISO 22301 for Global Data Resilience Engineering

$199.00
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What is the ISO 22301 for Global Data Resilience course about?

Teams spend cycles building recovery runbooks that look solid on paper but fall apart during orchestration. The gap isn't intent, it's traceability. Without clear mappings from data dependency to recovery SLA, even well-documented plans stall when systems go dark.

What situation is the ISO 22301 for Global Data Resilience for?

Teams spend cycles building recovery runbooks that look solid on paper but fall apart during orchestration. The gap isn't intent, it's traceability. Without clear mappings from data dependency to recovery SLA, even well-documented plans stall when systems go dark.

Who is the ISO 22301 for Global Data Resilience course for?

Senior data and systems engineers in cloud-scale environments who own or contribute to business continuity and disaster recovery frameworks, especially where audit readiness and rapid recovery are non-negotiable.

What do you take away from the ISO 22301 for Global Data Resilience course?

Map data-critical functions to recovery time objectives with ISO 22301 precision Automate dependency tracking across microservices for faster recovery validation Build audit-ready evidence packs that survive cross-functional scrutiny Reduce recovery plan drift with versioned control matrices Produce runbooks that ops, security, and compliance teams can execute without reinterpretation.

What's included with your purchase?

12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.

What does the ISO 22301 for Global Data Resilience cover on delivery and format?

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside it. Time investment: Approximately 9 hours of focused reading and implementation planning, designed to be completed in Sunday-morning blocks over three weeks.

How does this compare to the alternatives?

Unlike generic ISO 22301 overviews, this course is built specifically for data engineers in cloud-scale environments, with technical depth on pipeline recovery, automated evidence, and integration with modern observability stacks , not theoretical compliance.

What does the ISO 22301 for Global Data Resilience cover on frequently asked?

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

Closely related courses: Operational Resilience for Global Controllers, Operational Resilience Testing for Global Bank Security, Network Resilience for Global Operations Leaders, Operational Resilience for Global Services Leaders.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering ISO 22301 for Global Data Resilience Engineering

A proven method to design, validate, and scale business continuity frameworks that hold under real-world pressure

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Continuity plans that fail the first stress test

The situation this course is for

Teams spend cycles building recovery runbooks that look solid on paper but fall apart during orchestration. The gap isn't intent, it's traceability. Without clear mappings from data dependency to recovery SLA, even well-documented plans stall when systems go dark.

Who this is for

Senior data and systems engineers in cloud-scale environments who own or contribute to business continuity and disaster recovery frameworks, especially where audit readiness and rapid recovery are non-negotiable

Who this is not for

Entry-level IT staff, general compliance officers with no technical implementation role, or consultants without hands-on system design experience

What you walk away with

  • Map data-critical functions to recovery time objectives with ISO 22301 precision
  • Automate dependency tracking across microservices for faster recovery validation
  • Build audit-ready evidence packs that survive cross-functional scrutiny
  • Reduce recovery plan drift with versioned control matrices
  • Produce runbooks that ops, security, and compliance teams can execute without reinterpretation

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 22301 in Cloud-Scale Data Systems
Establish the core principles of business continuity management within distributed data environments. This module clarifies how ISO 22301 applies to data pipelines, storage layers, and recovery SLAs, moving beyond generic interpretations to context-specific implementations at scale.
12 chapters in this module
  1. Understanding the scope of ISO 22301 for data engineering teams
  2. Mapping business impact analysis to data service tiers
  3. Defining recovery time and point objectives for streaming pipelines
  4. Integrating data resilience into incident response playbooks
  5. Aligning with NIST CSF and ISO 27001 control expectations
  6. Avoiding common scope creep in continuity planning
  7. Documenting critical data flows under regulatory scrutiny
  8. Establishing ownership models for cross-functional recovery
  9. Evaluating third-party dependencies in recovery chains
  10. Benchmarking against industry recovery performance norms
  11. Preparing for internal audit evidence collection
  12. Versioning and change control for continuity plans
Module 2. Business Impact Analysis for Data-Critical Functions
Learn how to conduct a technical BIA that captures data sensitivity, uptime requirements, and downstream dependencies. This module focuses on extracting precise recovery requirements from engineering teams and converting them into ISO 22301-compliant evidence.
12 chapters in this module
  1. Identifying data systems with cascading failure risk
  2. Classifying data assets by availability and integrity needs
  3. Measuring financial and operational impact of data outages
  4. Engaging product and infrastructure teams in BIA workshops
  5. Documenting interdependencies across microservices
  6. Setting recovery objectives for batch and real-time systems
  7. Using telemetry to validate BIA assumptions
  8. Avoiding overstatement in impact categorization
  9. Creating visual maps of data-critical workflows
  10. Translating BIA outcomes into testable recovery criteria
  11. Integrating legal hold and compliance obligations
  12. Updating BIA after system architecture changes
Module 3. Designing Resilient Data Recovery Architectures
Translate continuity requirements into technical designs that support fast, repeatable recovery. This module covers architecture patterns for data replication, storage redundancy, and failover automation that meet ISO 22301 expectations.
12 chapters in this module
  1. Evaluating active-passive vs active-active data architectures
  2. Implementing geo-redundant storage for critical datasets
  3. Configuring automated failover for streaming pipelines
  4. Designing stateful recovery for distributed databases
  5. Validating backup integrity across recovery intervals
  6. Securing recovery data paths against tampering
  7. Integrating recovery triggers with monitoring systems
  8. Documenting recovery decision logic for audit
  9. Balancing RTO and RPO with cost and complexity
  10. Testing recovery path capacity under load
  11. Versioning recovery configurations
  12. Handling schema drift in cross-region replication
Module 4. Incident Response Integration for Data Teams
Align data recovery actions with enterprise incident response frameworks. This module ensures your recovery runbooks plug directly into existing SOC playbooks and escalation paths.
12 chapters in this module
  1. Mapping data recovery steps to IR escalation levels
  2. Defining clear handoff points between SOC and data teams
  3. Automating alerting for pipeline and storage outages
  4. Documenting command and control roles during recovery
  5. Integrating runbooks into incident management platforms
  6. Validating communication paths during simulated outages
  7. Reducing mean time to recovery with pre-approved actions
  8. Avoiding escalation bottlenecks in crisis scenarios
  9. Logging recovery actions for forensic review
  10. Coordinating with legal and compliance during incidents
  11. Updating runbooks based on post-mortem findings
  12. Ensuring recovery actions comply with data sovereignty rules
Module 5. Automating Evidence Collection for Audits
Replace manual audit prep with automated workflows that generate ISO 22301-compliant evidence. This module introduces scripting and tooling strategies for repeatable, defensible documentation.
12 chapters in this module
  1. Identifying required evidence for ISO 22301 clauses
  2. Building automated checks for recovery configuration
  3. Integrating audit trails with SIEM and logging platforms
  4. Using infrastructure-as-code to version control recovery setups
  5. Generating compliance reports from operational data
  6. Validating evidence freshness and completeness
  7. Reducing false positives in automated compliance checks
  8. Documenting evidence sources for auditor review
  9. Setting up continuous monitoring for control drift
  10. Integrating evidence automation with CI/CD pipelines
  11. Handling access controls for audit data
  12. Creating evidence summaries for cross-functional reviewers
Module 6. Testing and Validation of Recovery Plans
Move from paper exercises to realistic, stress-tested recovery scenarios. This module covers how to design and run tests that validate recovery capabilities without disrupting production.
12 chapters in this module
  1. Classifying test types from tabletop to full interruption
  2. Designing realistic failure scenarios for data systems
  3. Scheduling tests to minimize production impact
  4. Using canary recovery and shadow databases
  5. Measuring actual RTO and RPO during tests
  6. Documenting test results for audit readiness
  7. Involving compliance and security teams in test design
  8. Avoiding cascade failures during recovery drills
  9. Running surprise tests to evaluate team readiness
  10. Updating runbooks based on test findings
  11. Tracking test participation and response times
  12. Reporting test outcomes to leadership stakeholders
Module 7. Continuous Improvement and Plan Maintenance
Institutionalize updates to recovery plans so they reflect actual system changes. This module covers change tracking, review cycles, and version control for living continuity documentation.
12 chapters in this module
  1. Integrating plan updates into change management workflows
  2. Tracking system changes that impact recovery design
  3. Scheduling regular review cycles for runbooks
  4. Using version control for continuity documentation
  5. Alerting on configuration drift from recovery standards
  6. Updating BIA after product or market changes
  7. Documenting exceptions and temporary workarounds
  8. Ensuring recovery plans reflect current team structures
  9. Automating drift detection across data environments
  10. Handling legacy system recovery in modern architectures
  11. Measuring plan effectiveness over time
  12. Retiring obsolete recovery procedures
Module 8. Cross-Functional Alignment and Communication
Secure buy-in and coordination across engineering, security, compliance, and business units. This module focuses on clear communication frameworks that keep recovery planning aligned with organizational priorities.
12 chapters in this module
  1. Defining shared vocabulary for data resilience
  2. Presenting recovery metrics to non-technical stakeholders
  3. Aligning recovery objectives with business continuity goals
  4. Engaging product teams in recovery design reviews
  5. Managing expectations around recovery capabilities
  6. Documenting decision rationales for cross-team review
  7. Creating executive summaries of recovery posture
  8. Facilitating joint training across functional teams
  9. Handling conflicts in recovery priorities
  10. Reporting progress to resilience oversight groups
  11. Incorporating feedback from external audits
  12. Maintaining transparency during recovery incidents
Module 9. Regulatory and Compliance Integration
Map ISO 22301 controls to sector-specific regulations like GDPR, CCPA, and SOC 2. This module ensures your data recovery framework meets external compliance demands.
12 chapters in this module
  1. Mapping ISO 22301 clauses to GDPR Article 32 requirements
  2. Aligning recovery plans with CCPA data availability rules
  3. Integrating with SOC 2 availability and confidentiality criteria
  4. Meeting financial sector resilience expectations
  5. Documenting compliance mappings for auditors
  6. Handling cross-border data recovery under sovereignty rules
  7. Ensuring recovery actions respect data retention policies
  8. Validating recovery integrity for regulated data
  9. Auditing access to recovery systems
  10. Reporting on compliance status to oversight bodies
  11. Updating compliance mappings after regulation changes
  12. Preparing for regulator-specific recovery drills
Module 10. Tooling and Automation Stack Selection
Evaluate and deploy tools that support ISO 22301 implementation at scale. This module covers platforms for runbook automation, drift detection, and compliance reporting.
12 chapters in this module
  1. Assessing open-source vs commercial BCM platforms
  2. Integrating with existing observability and monitoring tools
  3. Selecting platforms with strong API support
  4. Evaluating version control and collaboration features
  5. Using IaC tools for recovery configuration management
  6. Automating compliance checks with policy-as-code
  7. Integrating with incident management systems
  8. Ensuring tooling supports multi-region recovery
  9. Validating tooling audit trail capabilities
  10. Scaling tooling across global engineering teams
  11. Training teams on new recovery platforms
  12. Measuring tool ROI through reduced prep time
Module 11. Building a Resilience Culture in Engineering Teams
Foster ownership and accountability for data recovery across engineering. This module covers leadership strategies to make resilience a shared value, not a compliance chore.
12 chapters in this module
  1. Leading by example in recovery preparedness
  2. Incorporating resilience into onboarding programs
  3. Recognizing teams for successful recovery actions
  4. Creating psychological safety for incident reporting
  5. Setting resilience metrics as team KPIs
  6. Sharing post-mortem learnings across orgs
  7. Encouraging cross-training on recovery roles
  8. Reducing stigma around system failures
  9. Integrating resilience into code review practices
  10. Celebrating recovery readiness milestones
  11. Measuring cultural adoption through survey data
  12. Sustaining momentum after initial rollout
Module 12. Scaling Resilience Across Global Systems
Extend proven recovery patterns across regions and business units. This module focuses on standardization, localization, and governance for multinational data resilience.
12 chapters in this module
  1. Defining global recovery standards with local flexibility
  2. Managing multi-region recovery orchestration
  3. Aligning regional teams with central frameworks
  4. Handling language and time zone challenges in drills
  5. Documenting regional compliance variations
  6. Ensuring data sovereignty in cross-border recovery
  7. Standardizing runbook formats across teams
  8. Centralizing audit evidence collection
  9. Sharing best practices across regional hubs
  10. Onboarding new regions to existing frameworks
  11. Measuring consistency across global implementations
  12. Adapting global plans to local infrastructure constraints

How this maps to your situation

  • Initial planning and risk assessment
  • Technical design and implementation
  • Testing and validation
  • Governance and scaling

Before vs. after

Before
Manual, siloed recovery planning with inconsistent documentation and audit prep cycles that consume dozens of hours.
After
Automated, version-controlled recovery frameworks with cross-functional alignment and evidence collection that runs on schedule, not stress.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside it.

Time investment: Approximately 9 hours of focused reading and implementation planning, designed to be completed in Sunday-morning blocks over three weeks.

If nothing changes
Without a standardized, maintainable approach, recovery plans decay between audits, increasing outage impact and audit failure risk , especially as synthetic media and AI-driven identity challenges raise scrutiny on data integrity.

How this compares to the alternatives

Unlike generic ISO 22301 overviews, this course is built specifically for data engineers in cloud-scale environments, with technical depth on pipeline recovery, automated evidence, and integration with modern observability stacks , not theoretical compliance.

Frequently asked

Is this course suitable for someone without a BCM background?
Yes , it's designed for data and systems engineers who need to implement resilience, not for compliance generalists. Technical context comes first.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does it cover integration with tools like Snowflake or Databricks?
Yes , modules include patterns for data warehouse and lakehouse recovery, with specific considerations for managed platforms.
$199 one-time. Approximately 9 hours of focused reading and implementation planning, designed to be completed in Sunday-morning blocks over three weeks..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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