Oracle Partnership for Mission-Critical Cloud and Data Modernization
DGL helps organizations modernize Oracle platforms, strengthen database and application foundations, adopt OCI with confidence, and improve performance, governance, security, and long-term service reliability.
A modernization foundation for mission-critical workloads, governed data, integration, analytics, and managed services.
Reliable platforms
Controlled access
Elastic growth
Modernize Oracle around cloud, data, and resilient service.Modernize Oracle around cloud, data, and resilient service.
Oracle modernization needs clear ownership across infrastructure, database, applications, data controls, and service operations.
OCI foundations, Oracle databases, application dependencies, data governance, and managed operations.
Landing zones, workload fit, resilience, and migration readiness.
Performance, availability, ownership, quality, and reporting trust.
Security, compliance, access, audit evidence, and recovery posture.
Monitoring, release support, optimization, and managed continuity.
See Oracle as connected enterprise layers.See Oracle as connected enterprise layers.
OCI compute, networking, storage, identity, backup, and observability foundations.
Oracle databases, data movement, lifecycle control, performance, and governed reporting.
Enterprise applications, analytics, automation triggers, controls, and user adoption.
Move critical workloads through controlled gates.Move critical workloads through controlled gates.
Each gate has evidence, ownership, and readiness checks before the next decision is made.
Dependencies, risk, performance, data movement, and priority.
Network, identity, backup, monitoring, cost, and compliance design.
Migration rehearsal, cutover, performance tuning, and support handoff.
Tuning, capacity, query behavior, and workload baselines.
Backup, recovery, replication, patch planning, and continuity.
Ownership, retention, access, quality, and audit traceability.
Migration, replication, reconciliation, and reporting feeds.
Keep Oracle data trusted and available.Keep Oracle data trusted, available, and governed.
DGL supports the operational foundations that keep Oracle data dependable for applications, analytics, compliance, and leadership reporting.
Protect critical Oracle environments.Protect critical Oracle environments without slowing change.
Controls must be practical for platform teams, application owners, data stewards, and auditors.
Privileged access, segregation, reviews, and ownership routines.
Audit trails, retention, monitoring, exception handling, and reports.
Backup validation, recovery objectives, continuity plans, and rehearsals.
Turn Oracle data into insight and action.Turn Oracle data into connected insight and action.
Analytics and automation depend on clean integration patterns, trusted measures, and practical workflow triggers.
APIs, data feeds, ownership, testing, monitoring, and exceptions.
Dashboards, KPIs, definitions, review cadence, and leadership packs.
Alerts, approvals, reconciliation, workload tuning, service actions, and automation backlog.
Deliver Oracle change through evidence-led phases.Deliver Oracle change through evidence-led phases.
Systems, workloads, data, controls, and pressure points.
OCI, database, security, integration, and service foundations.
Migrate, test, tune, document, train, and hand over.
Performance, cost, automation, resilience, and service health.
Measure Oracle value through resilient performance.Measure Oracle value through resilient performance and trusted data.
The outcome model links Oracle platform decisions to reliability, data confidence, cloud scalability, and service maturity.
Availability, recovery confidence, monitoring, and incident response.
Governance, definitions, quality routines, and audit readiness.
Workload fit, elastic capacity, cost visibility, and modernization options.
Managed support, release discipline, optimization backlog, and user confidence.
Keep Oracle services aligned as needs evolve.Keep Oracle services aligned as business and technology needs evolve.
The partnership model keeps roadmap governance, managed services, modernization priorities, and cost-performance optimization connected.
Strategy, risk, investment, architecture, and sequence.
Support, patching, monitoring, releases, and service learning.
Performance, costs, automation, capacity, and reporting value.
Start with the Oracle platform decision that needs clarity.Start with the Oracle platform decision that needs clarity now.
DGL can help assess OCI readiness, database modernization, security posture, application dependencies, analytics needs, or managed service maturity.
Workloads, data, risk, cost, and service readiness.
Migration path, controls, operating model, and value case.
Architecture, delivery, governance, support, and measures.
