Lean DataOps:

The Fastest Path to DataOps Value

Go from zero to DataOps in four incremental phases

PHASE 1

Production DataOps

Eliminate errors in your existing production pipelines.

No Process Changes Required

Includes:

R

Observability (Automated Testing & Monitoring)

PHASE 2

Development DataOps

Automate development & deployment pipelines for agility & innovation.

Small Process Changes Required

Includes:

R

Everything in Phase 1

R

Continuous Deployment

R

Collaboration & Sharing

PHASE 3

Measurement DataOps

Measure the results from Phase 1 & 2 to improve the state of your data operations.

Small Process Changes Required

Includes:

R

Everything in Phases 1 & 2

R

Process Analytics

PHASE 4

Enterprise DataOps

Expand DataOps processes throughout the organization for transformational change.

Moderate Process Changes Required

Includes:

R

Everything in Phases 1, 2, & 3

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By DataOps Phase

Go from zero to DataOps in four incremental phases
Lean DataOps Overview Production DataOps Development DataOps Measurement DataOps Enterprise DataOps

By Buzzword

DataOps is the foundation for these common use cases

Data Observability
Data Mesh
DataGovOps
ModelOps
Self-Service Operations

By Platform

DataOps brings agility to any environment

Hybrid Cloud DataOps
Cloud DataOps

By Team

DataOps makes any team more productive

Business Analytics
Central Data/IT
Data Science/AI

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Maturity Model Assessment

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