Use Oracle Autonomous Database to store sales data across multiple tables (e.g., orders, customers, products, and payments).
Set up primary and foreign keys to establish relationships between tables, ensuring data integrity.
Key Features:
Store historical sales transactions and customer details.
Use Oracle’s built-in features such as automatic backups and tuning.
Database Ideation:
2. Data Storage
Technology: OCI Object Storage and OCI Data Lakehouse.
Description:
Store raw sales data (e.g., CSV or JSON files) in OCI Object Storage as your data lake.
Store structured and processed data in Oracle Autonomous Data Warehouse (ADW) for querying and reporting.
Key Features:
Utilize OCI's scalability for object storage to handle large volumes of raw data.
Use ADW for high-performance data analytics.
3. Data Pipeline
Technology: OCI Data Integration or custom solution using OCI Functions and Oracle Cloud Shell for pipeline orchestration.
Description:
Design an ETL pipeline using OCI Data Integration to extract data from OCI Object Storage, transform it (e.g., clean sales data, enrich with customer data), and load it into Oracle Autonomous Database.
For real-time processing, use OCI Functions to trigger transformations and load data based on events like new file uploads to Object Storage.
Key Features:
Leverage built-in connectors to simplify the ETL process.
Optimize the pipeline to scale dynamically with data size.
4. Automation
Technology: OCI Functions, OCI Events, and OCI Scheduled Jobs.
Description:
Use OCI Functions to automate ETL tasks based on event triggers (e.g., new sales data being uploaded to Object Storage).
Use OCI Scheduled Jobs to run the pipeline at regular intervals (e.g., nightly sales data updates).
Key Features:
Serverless automation using OCI Functions to avoid managing infrastructure.
Schedule data processing tasks using OCI's native job scheduler.
5. IAM Permissions & Security
Technology: OCI Identity and Access Management (IAM).
Description:
Define granular IAM policies using OCI IAM to restrict access to sensitive data and services.
Set up roles and policies to ensure the ETL pipeline has the correct permissions to access Object Storage, Autonomous Database, and other OCI services.
Ensure data security by using encryption for data at rest and in transit.
Key Features:
Utilize OCI’s Vault for securely managing sensitive information such as database credentials.
Enforce principle of least privilege for all resources.
6. Team Development
Technology: OCI DevOps for version control, continuous integration, and code reviews.
Description:
Use OCI DevOps pipelines for automating deployment and testing of your data pipeline and other components.
Collaborate using Git (integrated into OCI DevOps), manage tasks via Agile boards (e.g., Jira), and conduct peer code reviews.
Key Features:
Use OCI DevOps Projects for continuous integration and deployment.
Implement automated testing for your ETL pipeline and database schema updates.
Final Deliverables:
Autonomous Database schema with related tables (orders, customers, products, payments).
Data stored in OCI Object Storage as raw files and Autonomous Data Warehouse for structured, queryable data.
ETL pipeline automated using OCI Data Integration and OCI Functions, storing data into the database.
IAM roles and policies ensuring secure access to the pipeline, storage, and database.
Team collaboration using OCI DevOps for version control, automation, and code reviews.