Databricks Pilot to Production

From pilot to production on Databricks in 90 days

We take a real use case to production with reliable pipelines and embedded data quality.

Built for teams that need outcomes, not experiments.

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Production. Not POCs

Reliability built in

Clear path to scale

What you have after 90 days

1 production-ready use case deployed

Reliable pipelines without manual intervention

Data quality embedded via AutoDQ

Structured Gold layer aligned to business needs

2–4 additional use cases scoped

Clear path to scaling usage

Not a pilot. A production starting point.

How we deliver

Phase 1

Diagnose and Select (Weeks 1–2)

  • Assess current environment
  • Identify and prioritize use cases
  • Scope data tightly
  • Select one realistic, high-impact use case

Output: Clear execution plan with controlled scope

Phase 2

Build and Stabilize (Weeks 3–8)

  • Develop pipelines (Bronze → Silver → Gold)
  • Fix reliability issues
  • Embed data quality with AutoDQ
  • Optimize performance

Output: Working, validated pipelines

Phase 3

Production and Scale (Weeks 9–12)

  • Deploy to production
  • Validate with business users
  • Define next use cases

Output: Live production workload and roadmap

Data quality built into the pipeline

AutoDQ is included as part of the engagement. Free.

Data quality is part of pipeline execution, not a separate process.

  • Runs natively on Databricks with Unity Catalog
  • No additional architecture overhead
  • Automatically generates and enforces rules
  • Detects issues before downstream impact

Who this is for

  • Organizations using or adopting Databricks
  • Teams with at least one defined use case
  • Data initiatives under delivery pressure
  • Environments limited by reliability issues

Who this is not for

  • Teams exploring Databricks
  • No defined use case
  • No access to data
  • No stakeholder availability

Built for execution. Not exploration.

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Why KData

Simple engagement model

Co-selling and co-funding options available

Ready to move to production

If your current approach isn't getting use cases into production, we should talk.

We work with teams that have already deployed Databricks but are not scaling as expected.

Production-focused delivery

Not POCs. Real workloads, live environments.

Pipeline reliability and data quality

Issues addressed at the source.

90-day production path

Clear execution plan with controlled scope.

Start Your 90-Day Pilot