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Data · Data Orchestration

Data Orchestration
Data

Data orchestration coordinates complex pipelines — scheduling, managing dependencies and ensuring reliable, observable data flows across the stack.

Zero Trust Automation Observability AI-Driven
Technologies & Vendors

Technologies available for this scope

AA
Apache Airflow
P
Prefect
Current Challenges

What organizations face today

  • Dependency complexity — managing pipeline DAGs
  • Reliability — handling failures gracefully
  • Observability — understanding pipeline health
  • Scale — orchestrating many workflows
  • Tool integration — connecting diverse systems
Forward-Looking

Future Challenges

Declarative orchestration

Pipelines defined as code.

AI-driven scheduling

Smart, adaptive workflow execution.

Data-aware orchestration

Triggered by data, not just time.

Self-healing pipelines

Automatic failure recovery.

Unified observability

End-to-end pipeline visibility.

Services Catalog

A Virtuous Cycle of Services

Services define the WHAT — the desired action according to the service type. They follow a virtuous cycle aligned with your Data Orchestration initiatives.

Define

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We define a Data Orchestration skills development plan covering automation, security and observability.

Teach

Knowledge Transfer
Outcome(s)
  • Videos recorded session
  • Deliverable
PS Example

We deliver technical Data Orchestration sessions tailored to your teams' level and objectives.

Validate

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We validate Data Orchestration knowledge through practical exercises and real-world scenarios.

Evaluate

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We evaluate Data Orchestration skills and identify improvement areas for continuous progression.

Mentor

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We provide Data Orchestration technical mentoring for troubleshooting, design and optimization.

Inform

Knowledge Transfer
Outcome(s)
  • Webinar
  • Deliverable
PS Example

We keep you informed about Data Orchestration trends, best practices and emerging technologies.

Transversal Layer

AI & Automation

AI and automation enhance every aspect of your Data Orchestration scope: detection, analysis, configuration, remediation, prediction and optimization.

  • Pipeline optimization
  • Failure prediction
  • Anomaly detection
  • Dependency analysis