Case Study: The Metropolitan Atlanta Rapid Transit Authority (MARTA)

Lisa Dodson

Key Takeaways

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MARTA standardized on Oracle Fusion Cloud and Databricks, then used Orbit Data Pipelines to make Fusion‑to‑Databricks integration reliable, governed, and largely no‑code.

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Orbit’s Fusion‑aware pipelines, medallion architecture, and Unity Catalog integration give MARTA fresher data, end‑to‑end lineage, and stronger governance for finance, HR, and operations analytics.

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With proactive monitoring, orchestration, and robust logging, MARTA’s data team now supports more pipelines with higher uptime and is better positioned to scale new Fusion modules and Databricks use cases.

MARTA needed Oracle Fusion data to land in Databricks reliably, repeatedly and with the right level of control without turning every new flow into a custom development project. Orbit Analytics implemented Orbit Data Pipelines, a no-code ETL and ELT framework purpose-built for Oracle Fusion.

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Key Topics Discussed

Analytics and AI

Key Takeaways

⇨ MARTA standardized on Oracle Fusion Cloud and Databricks, then used Orbit Data Pipelines to make Fusion‑to‑Databricks integration reliable, governed, and largely no‑code.

⇨ Orbit’s Fusion‑aware pipelines, medallion architecture, and Unity Catalog integration give MARTA fresher data, end‑to‑end lineage, and stronger governance for finance, HR, and operations analytics.

⇨ With proactive monitoring, orchestration, and robust logging, MARTA’s data team now supports more pipelines with higher uptime and is better positioned to scale new Fusion modules and Databricks use cases.

Partners Mentioned

Key Topics Discussed

⇨

MARTA standardized on Oracle Fusion Cloud and Databricks, then used Orbit Data Pipelines to make Fusion‑to‑Databricks integration reliable, governed, and largely no‑code.

⇨

Orbit’s Fusion‑aware pipelines, medallion architecture, and Unity Catalog integration give MARTA fresher data, end‑to‑end lineage, and stronger governance for finance, HR, and operations analytics.

⇨

With proactive monitoring, orchestration, and robust logging, MARTA’s data team now supports more pipelines with higher uptime and is better positioned to scale new Fusion modules and Databricks use cases.