The image shows how data flows from various data sources, through a Retail lakehouse
and out to data consumers. These process stages are listed across the top of the image.
Data flows through them in this order:
- Discover
Under this stage are listed these data sources:
- Micros/POS
- Web behavior
- Campaign Design and Performance
- Fusion SCM/Supply Chain Management
- eCommerce
- Oracle AdvertisingCloud/Customer Profile
- Social Media
- Siebel Loyalty/Loyalty Program
- Ingest
Under this stage is the data refinery, wherein ingestion jobs are
handled by Oracle Data Integrator Cloud.
- Transform
Under this stage, along with some aspects of the ingestion jobs is
the Lake House, comprising these processes:
- The analytic zone, through Oracle Autonomous Data Warehouse.
- A data lake (with serverless data flow), wherein Object Storage
provides both a curated zone and a landing zone which utilize OCI
Data Flow. This process provides data enrichment services and
governance through the Data Catalog.
- Curate
This stage shares all processes described for the Transform
stage.
- Analyze, Learn, and Predict
This stage contains Access and Interpretation
process, which rely on Data Science, Oracle Machine Learning (OMI), and OMI
Notebook. It shares governance process with the Lake House
processes.
- Measure and Act\
This stage contains the data consumers, including:
- Business executives
- Oracle Business Intellegence
- Oracle Analytics Cloud
- Campaign parameters/messaging
- Loyalty parameters
Governance and security, identity, and access management are provided for the Data
Refinery, Lake House, and Access and Interpretation processes.
