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Data & Analytics · Case Study

Oracle Cloud Data Integration into Azure Data Lake

MSPowerhouse extended its Azure data platform pattern to Oracle Cloud sources, landing raw output in ADLS Gen2 first and curating downstream — using API, database, or file-based extraction depending on what each source supported.

Client
Confidential
Engagement
2024
Industry
Data & Analytics
Outcome
Raw-lake Source-of-truth pattern
Oracle Cloud Data Integration into Azure Data Lake

The challenge

  • Move Oracle Cloud data into a centralized Azure analytics platform.
  • Decide between API, database, or file-based extraction per source capability.
  • Preserve source output for traceability before any transformation.

Our approach

  • Used ADF orchestration with Oracle Cloud connection planning.
  • Applied the same raw-landing-first lake pattern across sources.
  • Organized ADLS by source and supported incremental extraction where available.
  • Secured credentials and connection metadata.

Results

Centralized
Oracle Cloud data in ADLS
Consistent
Lake pattern across sources
Ready
For downstream curation & reporting

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