Data Backup, Recovery and Resilience Management Training Course

Course Introduction

The Data Backup, Recovery and Resilience Management Training Course provides a comprehensive framework for protecting critical data, ensuring recoverability, and building organizational resilience against operational disruptions, cyber incidents, infrastructure failures, human errors, and technology outages. It equips participants with practical capabilities for designing reliable backup and recovery environments aligned with business priorities.

The course examines the complete data protection lifecycle, including data identification, backup strategy development, storage architecture, backup scheduling, replication, recovery planning, testing, monitoring, retention, and controlled disposal. Participants learn how to identify critical information assets and determine appropriate recovery requirements based on business impact, operational dependencies, data value, and acceptable levels of disruption.

A major focus is placed on recovery objectives and resilience planning. Participants explore recovery point objectives, recovery time objectives, maximum tolerable downtime, recovery dependencies, service priorities, backup frequency, recovery tiers, and restoration sequencing. These concepts are applied to the design of practical recovery strategies that balance business requirements, technology capabilities, risk exposure, and cost.

The program also addresses modern backup and recovery challenges created by cloud platforms, hybrid infrastructures, distributed systems, databases, virtual machines, SaaS applications, endpoints, collaboration platforms, and increasingly sophisticated cyber threats. Participants learn how immutable backups, offline copies, encryption, replication, access controls, monitoring, and recovery testing can strengthen protection against data loss and operational disruption.

Through practical exercises, participants develop data protection assessments, backup policies, recovery procedures, resilience architectures, recovery runbooks, business impact analyses, risk registers, recovery dashboards, and testing programs. The training integrates backup management with business continuity, disaster recovery, cybersecurity, information governance, cloud operations, incident management, and organizational resilience.

By the end of the Data Backup, Recovery and Resilience Management Training Course, participants will be able to design, evaluate, and improve enterprise data protection and recovery capabilities. They will understand how to measure backup effectiveness, identify recovery gaps, validate restoration readiness, manage cyber recovery requirements, and establish resilient information environments capable of supporting continued operations during disruptive events.

Duration

10 days

Who Should Attend

• IT managers and infrastructure professionals responsible for enterprise backup, storage, recovery, and data protection environments.

• Backup and recovery administrators managing backup platforms, schedules, repositories, replication, restoration, and recovery operations.

• Disaster recovery and business continuity professionals responsible for organizational recovery strategies, plans, testing, and resilience programs.

• Data protection professionals designing policies and controls for safeguarding critical organizational information.

• Systems administrators managing servers, virtual machines, storage infrastructure, operating systems, and recovery configurations.

• Cloud infrastructure professionals responsible for protecting cloud workloads, applications, databases, storage, and SaaS information.

• Cybersecurity professionals addressing ransomware, destructive attacks, compromised backups, recovery security, and cyber resilience.

• Database administrators responsible for database backup, replication, point-in-time recovery, integrity, and restoration processes.

• IT operations and service management professionals responsible for service availability, incident response, continuity, and recovery performance.

• Risk management professionals assessing data loss scenarios, operational dependencies, recovery risks, and resilience controls.

• Internal auditors and compliance professionals evaluating backup policies, recovery controls, testing evidence, retention, and regulatory requirements.

• Enterprise architects and technology planners designing resilient infrastructure, storage architectures, redundancy, and recovery solutions.

• Information governance and records professionals managing backup retention, archival requirements, recovery copies, and information lifecycle considerations.

• Project managers and consultants implementing backup modernization, disaster recovery, cloud migration, resilience, and data protection initiatives.

• Managers and business leaders responsible for ensuring critical services, information assets, and organizational operations can withstand disruptive events.

Course Objectives

• Develop a comprehensive understanding of data backup, recovery, disaster recovery, operational resilience, and business continuity management principles.

• Design backup strategies that align data criticality, business priorities, recovery objectives, storage capabilities, risk exposure, and operational requirements.

• Establish appropriate recovery point objectives and recovery time objectives for critical applications, information assets, infrastructure, and business services.

• Evaluate backup architectures including on-premises, cloud, hybrid, distributed, virtualized, replicated, immutable, and offline protection environments.

• Develop backup policies covering scope, frequency, retention, encryption, access control, monitoring, testing, documentation, and accountability requirements.

• Apply techniques for assessing backup integrity, recoverability, completeness, consistency, performance, and compliance with established protection requirements.

• Design recovery procedures and runbooks that support predictable restoration of systems, applications, databases, files, services, and critical information.

• Integrate ransomware resilience, immutable storage, isolated recovery environments, privileged access controls, and cyber recovery practices into backup strategies.

• Conduct business impact and risk assessments to prioritize systems, information, dependencies, recovery sequences, and resilience investments.

• Develop comprehensive backup and recovery testing programs that validate restoration capabilities under realistic operational and disruption scenarios.

• Apply monitoring, analytics, automation, and reporting techniques to identify backup failures, recovery risks, capacity constraints, and resilience gaps.

• Develop an enterprise data resilience strategy that supports business continuity, regulatory compliance, operational availability, cybersecurity, and long-term organizational sustainability.

Comprehensive Course Outline

Module 1: Foundations of Data Backup, Recovery and Resilience

• Principles of data protection, backup management, recovery, disaster recovery, business continuity, operational resilience, and service availability.

• Understanding data loss scenarios including hardware failures, software errors, human mistakes, cyberattacks, infrastructure outages, environmental events, and operational disruptions.

• Distinguishing backup, replication, snapshots, archival storage, high availability, disaster recovery, and resilience capabilities within enterprise environments.

• Establishing the relationship between data protection, business priorities, risk management, cybersecurity, information governance, and organizational continuity.

Module 2: Data Protection Assessment and Criticality Analysis

• Identifying critical data assets, applications, services, infrastructure components, databases, repositories, and operational information requiring protection.

• Conducting data protection assessments covering business value, sensitivity, dependencies, availability requirements, recovery complexity, and potential loss impacts.

• Classifying workloads according to recovery priority, criticality, data volatility, business impact, and acceptable disruption levels.

• Developing data protection inventories and dependency maps that support backup design, recovery planning, resilience analysis, and investment decisions.

Module 3: Recovery Objectives and Business Impact Analysis

• Understanding recovery point objectives, recovery time objectives, maximum tolerable downtime, service-level requirements, and recovery priorities.

• Conducting business impact analysis to determine consequences of data loss, service interruption, delayed recovery, and unavailable information.

• Mapping recovery objectives to applications, databases, infrastructure, business processes, users, dependencies, and operational requirements.

• Developing recovery tiers and prioritization frameworks that support structured restoration during major incidents and resource-constrained recovery situations.

Module 4: Enterprise Backup Strategy and Architecture

• Designing backup architectures covering full, incremental, differential, synthetic, continuous, application-aware, and policy-based backup approaches.

• Evaluating centralized and distributed backup models for servers, endpoints, databases, virtual environments, applications, cloud workloads, and enterprise repositories.

• Applying the 3-2-1 backup principle and related resilience concepts, including geographically separated, offline, air-gapped, and immutable protection copies.

• Balancing backup frequency, storage capacity, network performance, recovery requirements, operational complexity, security, and cost.

Module 5: Backup Storage, Retention and Data Lifecycle Management

• Designing backup storage strategies using disk, object storage, tape, cloud storage, archival tiers, and hybrid storage architectures.

• Developing backup retention policies based on operational recovery requirements, regulatory obligations, business needs, storage capacity, and risk considerations.

• Managing backup lifecycle processes covering creation, validation, replication, retention, archival, expiration, and controlled deletion.

• Applying storage analytics to forecast capacity requirements, identify inefficient retention, detect redundant backup copies, and optimize protection costs.

Module 6: Backup Security and Cyber Resilience

• Integrating encryption, privileged access management, multifactor authentication, role separation, network segmentation, and secure administration into backup environments.

• Understanding ransomware and destructive attack risks affecting production systems, backup repositories, credentials, management consoles, and recovery infrastructure.

• Designing immutable, isolated, offline, air-gapped, and logically separated recovery copies to strengthen protection against malicious modification or deletion.

• Developing cyber recovery procedures that coordinate backup protection, incident response, threat containment, forensic considerations, and controlled restoration.

Module 7: Cloud, Hybrid and Distributed Backup Management

• Designing backup and recovery strategies for public cloud, private cloud, hybrid infrastructure, multi-cloud environments, and distributed enterprise workloads.

• Evaluating cloud-native backup services, snapshots, replication, object storage, cross-region protection, and application-level recovery capabilities.

• Managing backup requirements for SaaS platforms, collaboration environments, cloud databases, virtual machines, containers, endpoints, and cloud-native applications.

• Addressing cloud recovery dependencies, data sovereignty, portability, vendor considerations, network availability, security controls, and recovery cost management.

Module 8: Database, Application and Workload Recovery

• Designing protection strategies for relational databases, NoSQL databases, enterprise applications, transactional systems, and critical business platforms.

• Applying point-in-time recovery, transaction log management, application-consistent backups, replication, and database integrity validation techniques.

• Coordinating application dependencies, middleware, authentication services, storage, networking, and supporting infrastructure during complex recovery operations.

• Developing workload-specific recovery procedures that minimize data loss, preserve consistency, validate functionality, and restore business services systematically.

Module 9: Recovery Planning and Restoration Procedures

• Developing disaster recovery plans, recovery runbooks, restoration workflows, escalation procedures, communication plans, and recovery responsibilities.

• Establishing restoration sequences based on business priorities, application dependencies, infrastructure requirements, and available recovery resources.

• Applying file-level, system-level, application-level, database-level, and full-environment restoration techniques across different technology platforms.

• Documenting recovery procedures clearly enough to support controlled execution under time pressure, staff constraints, and high-impact disruption scenarios.

Module 10: Backup Monitoring, Analytics and Performance Management

• Developing monitoring frameworks for backup success rates, failure patterns, job duration, storage utilization, replication status, recovery readiness, and policy compliance.

• Applying analytics to identify recurring backup failures, capacity constraints, unusual activity, configuration weaknesses, and unprotected workloads.

• Designing dashboards and key performance indicators for backup coverage, recovery readiness, restoration performance, protection gaps, and resilience maturity.

• Using trend analysis and predictive techniques to anticipate storage growth, backup workload increases, recovery bottlenecks, and emerging protection risks.

Module 11: Recovery Testing, Validation and Assurance

• Designing structured recovery testing programs covering individual files, applications, databases, systems, infrastructure components, and complete business services.

• Conducting tabletop exercises, technical recovery tests, failover exercises, disaster simulations, and controlled restoration scenarios.

• Validating recovered data for completeness, integrity, consistency, accessibility, security, and application functionality after restoration.

• Documenting test results, recovery deviations, lessons learned, remediation actions, ownership, and improvement priorities.

Module 12: Disaster Recovery and Operational Resilience

• Integrating backup and recovery capabilities with disaster recovery, business continuity, crisis management, emergency response, and organizational resilience frameworks.

• Designing resilient infrastructure using redundancy, geographic distribution, failover, replication, capacity management, and dependency diversification.

• Evaluating single points of failure across applications, infrastructure, facilities, vendors, networks, storage systems, and recovery environments.

• Developing resilience improvement programs based on business impact, threat scenarios, technology dependencies, recovery performance, and organizational priorities.

Module 13: Governance, Compliance, Risk and Audit

• Developing data protection policies covering backup scope, retention, security, recovery objectives, testing, monitoring, documentation, and accountability.

• Aligning backup and recovery practices with regulatory, contractual, privacy, information governance, security, and business continuity requirements.

• Conducting risk assessments to identify protection gaps, untested recovery processes, excessive dependencies, inadequate controls, and unsupported workloads.

• Preparing audit evidence, recovery documentation, compliance reports, exception registers, management dashboards, and remediation plans.

Module 14: Automation and Intelligent Data Protection

• Applying automation to backup scheduling, policy enforcement, replication, integrity validation, capacity management, alerting, and recovery workflows.

• Exploring orchestration technologies for coordinated application recovery, infrastructure provisioning, failover, validation, and service restoration.

• Using analytics and machine learning approaches to detect unusual backup behavior, identify anomalies, forecast capacity requirements, and prioritize recovery risks.

• Establishing automation governance that includes testing, approval controls, exception handling, monitoring, security, change management, and human oversight.

Module 15: Resilience Strategy, Maturity and Continuous Improvement

• Developing enterprise data resilience strategies aligned with organizational objectives, critical services, risk appetite, technology architecture, and continuity requirements.

• Assessing resilience maturity across people, processes, technology, governance, testing, monitoring, cybersecurity, recovery performance, and organizational preparedness.

• Building business cases for backup modernization, recovery infrastructure, cloud resilience, automation, immutable storage, and advanced recovery capabilities.

• Establishing continuous improvement programs based on testing outcomes, incidents, near misses, audit findings, analytics, technology changes, and evolving business requirements.

Module 16: Integrated Backup, Recovery and Resilience Project

• Designing an end-to-end data backup, recovery, and resilience framework for a realistic enterprise with critical applications, distributed infrastructure, and multiple recovery requirements.

• Conducting data criticality analysis, business impact assessment, dependency mapping, backup coverage analysis, recovery objective definition, and risk evaluation.

• Developing backup policies, recovery architectures, retention strategies, security controls, recovery runbooks, testing programs, dashboards, and governance mechanisms.

• Presenting an integrated resilience project demonstrating how effective backup and recovery capabilities can reduce data loss exposure, improve recovery readiness, strengthen continuity, and support sustained operations.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.