Loading Oracle E-Business Suite (EBS) Data into Oracle Autonomous Data Warehouse (ADW) and Oracle Analytics Cloud (OAC)
Background: ABZ Corporation, a multinational organization, relies on Oracle E-Business Suite (EBS) as its core ERP system for managing various business processes. Seeking to modernize its data analytics capabilities, ABC Corporation aims to load EBS data into Oracle Autonomous Data Warehouse (ADW) and leverage Oracle Analytics Cloud (OAC) for advanced analytics, reporting, and visualization.
Objectives:
Cloud-Based Analytics Adoption:
- Challenge: ABC Corporation wants to transition from on-premises data storage to cloud-based analytics solutions for scalability, agility, and enhanced performance.
- Solution: Implement a robust data integration pipeline to extract relevant data from Oracle EBS and load it into Oracle Autonomous Data Warehouse.
- Unified Data Repository:
- Challenge: Data from Oracle EBS is dispersed across various modules, and creating a unified data repository is crucial for comprehensive analytics.
- Solution: Design a comprehensive data model that consolidates relevant data from different EBS modules and load it into Oracle ADW, creating a centralized and unified data repository.
Advanced Analytics in OAC:
- Challenge: ABC Corporation seeks to leverage Oracle Analytics Cloud for in-depth analytics, visualization, and business intelligence.
- Solution: Once EBS data is available in ADW , Create Data Sets/Data Flow on top of data in ADW and design/develop BIP/OTBI or Self Service Analytics in OAC. ABC also has on premise OBIEE based reporting , they can leverage same repots in OAC by migrating on-Premise OBIEE RPD repository OAC .
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- Real-time and Scheduled Data Refresh:
- Challenge: Users require access to up-to-date data for timely decision-making, and regular data refreshes are necessary.
- Solution: Implement both real-time and scheduled data refresh mechanisms to ensure that Oracle ADW and OAC are consistently updated with the latest data from Oracle EBS.
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Implementation Steps:
Loading Data into Oracle ADW:
- Use Oracle ADW tools or cloud-based ETL services to load the transformed data into Oracle ADW tables.
Unified Data Model in ADW:
- Design a unified data model in Oracle ADW that consolidates data from different EBS modules, providing a comprehensive view for analytics.
Automation and Scheduling:
- Automate the data integration (Mostly ODI marketplace or ODI cloud ) process and set up scheduling mechanisms to perform regular and incremental data loads.
Data Loading into OAC:
- Utilize Oracle Analytics Cloud tools or integration services to load relevant data from Oracle ADW into OAC ( Data sets etc).
Visualizations and Dashboards:
- Design and develop visualizations, dashboards, and reports in Oracle Analytics Cloud to empower users with self-service analytics capabilities.
Real-time Data Integration (Optional):
- If real-time analytics is a requirement, implement additional mechanisms (e.g., streaming, change data capture) for real-time data integration.
Benefits:
Scalable Analytics: Leverage the scalability of Oracle ADW and OAC for handling large datasets and delivering high-performance analytics.
Self-Service Analytics: Empower business users with self-service analytics capabilities in Oracle Analytics Cloud for ad-hoc reporting and analysis.
Data Consistency and Integrity: Ensure consistent and accurate data across Oracle ADW and OAC, promoting data integrity in analytics.
Agile Decision-Making: Provide users with access to up-to-date data for agile and informed decision-making.
By loading Oracle EBS data into Oracle Autonomous Data Warehouse and Oracle Analytics Cloud, ABC Corporation modernizes its analytics infrastructure, providing users with powerful tools for exploring, analyzing, and visualizing business data.
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