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

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Maturity Model Assessment

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