Simulated environment. All schemas, metrics, and run histories are synthetic; no live Oracle instance, credentials, or customer data are used.

Oracle Secure Data Engineering Lab

ETL workflows

Pipeline catalogue

Each workflow models a pattern I use in Oracle-centric platforms: change capture, conformed dimensions, micro-batch aggregation and retention enforcement. Run histories and metrics are generated demo data, not readings from a live database.

Billing Ledger Ingest
PL-001 · Finance · owner: Data Platform
healthy

Incremental change capture from a mock order-entry schema into a partitioned billing fact table, with currency normalisation and late-arriving-record handling.

Schedule
Every 15 min
SLA
20 min
Healthy runs
66.7%
Last reject rate
0.08%
Simulated OLTP (ORDERS_SRC) DW.FACT_BILLING
Last run 184.2K rows · within SLAView detail
Customer Master Conformance
PL-002 · Reference Data · owner: Data Governance
degraded

Slowly changing dimension (Type 2) build for a synthetic customer master, including tokenisation of sensitive attributes before load.

Schedule
Hourly
SLA
45 min
Healthy runs
66.7%
Last reject rate
1.94%
Simulated CRM export (CSV) DW.DIM_CUSTOMER
Last run 60.0K rows · within SLAView detail
Telemetry Rollup
PL-003 · Operations · owner: Data Platform
healthy

Micro-batch aggregation of fabricated device telemetry into hourly rollups with idempotent re-processing on replay.

Schedule
Every 5 min
SLA
10 min
Healthy runs
100%
Last reject rate
0%
Simulated event stream DW.AGG_DEVICE_HOURLY
Last run 8.4K rows · within SLAView detail
Archive & Purge Cycle
PL-004 · Retention · owner: Database Administration
paused

Retention enforcement job that moves aged partitions to a compressed archive tablespace and purges expired synthetic records.

Schedule
Nightly 02:00
SLA
90 min
Healthy runs
100%
Last reject rate
0%
DW.FACT_BILLING Archive tablespace
Last run 2.4M rows · within SLAView detail