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Getting started checklist

  • Article
  • 2 minutes to read

During your data journey with cloud-scale analytics, you'll find there are multiple stages in your adoption lifecycle. This section provides a quick getting started checklist to help you adopt your scenario in stages. These stages are:

  • Stage 1: First landing zone
  • Stage 2: Extra data domains
  • Stage 3: Improve consumption readiness
  • Stage 4: Critical governance components​

Stage 1 - First landing zone

  • Define your first use case(s)​
  • Deploy your first data management landing zone​
  • Deploy your first data landing zone
  • Define your first (ingestion) pattern (for example, batch parquet)​
  • Develop your first data product (ingested raw, abstracted to product)​
  • Determine 'just-enough' governance​
  • Define metadata requirements (application information, schema metadata)
  • Register your first data consumer (manual process)

Stage 2 - Extra data domains

  • Refine your target architecture​
  • Deploy more data landing zones​
  • Extend with second, third and fourth data products​
  • Realize your data product metadata repository (database or excel)​
  • Implement your first set of controls (data quality, schema validation)​
  • Realize your consuming pipeline (taking input as output)​
  • Establish data ownership​

Stage 3 – Improve consumption readiness

  • Implement self-service registration and metadata ingestion​
  • Offer other transformation patterns (transformation framework, ETL tools, etc.)​
  • Enrich controls on the provider side (glossary, lineage, linkage)​
  • Implement your consuming process: approvals, use case metadata, deploy secure views by hand​
  • Establish your data governance control board​

Stage 4 – Critical governance components​

  • Apply automation (automatic secure view provisioning​)
  • Deploy strong data governance, set up your dispute body​
  • Finalize your data product guidelines​
  • Define your extra interoperability standard​
  • Develop your self-service data consumption process​
  • Develop your data query, self-service, catalog, lineage capabilities, etc.
  • ​Develop more data marketplace capabilities.​

Summary

These four development stages allow you to set up a minimal viable product in stage one, learn, and iterate into stage two. Throughout your staged approach, you grow in maturity for creating a self-service, scalable, and governed platform.

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