Unlocking Seamless Data Ingestion from Oracle Cloud with Incorta Connectors

Better business decisions hinge on rapid access to data. But data ingestion and analysis often pose challenges for organizations reliant on Oracle Cloud Applications. Incorta bridges this gap with powerful, scalable connectors – transforming how businesses extract, transform, and load data into their analytics ecosystem. Let's explore:

Common Challenges in Extracting Data from Oracle Cloud ERP

Despite the existing capabilities of Oracle Cloud ERP, organizations frequently run into the following challenges while attempting to extract and analyze data:

1. Complex Extraction Processes:
   Oracle Cloud ERP data is often distributed across multiple tables and schemas. Extracting this data using traditional methods can be cumbersome, requiring extensive manual effort and technical expertise.
2. Limited Access to View Objects (VOs):
   Not all critical data points are available through standard View Objects in Oracle’s BICC. This restricts access to essential datasets, requiring custom-built reports or workarounds.
3. Performance Bottlenecks:
   Large data volumes can lead to slow extraction times, affecting the timeliness of reporting and analytics. Incremental loading mechanisms are not always straightforward, potentially resulting in redundant data extraction.
4. BI Publisher (BIP) Limitations:
   Oracle’s BIP reports impose a 2-million-row limit, creating challenges for enterprises dealing with large datasets. Additionally, generating and maintaining BIP reports demands significant manual effort.
5. Data Fragmentation:
   Extracted data often requires additional transformation and stitching to align with business schemas, further prolonging the time to insight.

How Incorta Connectors Solve These Challenges

1. Oracle ERP Cloud BICC Connector (Business Intelligence Cloud Connector):

• End-to-End Orchestration: Incorta’s BICC connector orchestrates the entire data pipeline – triggering extraction, loading data into Oracle Universal Content Management (UCM), and streaming it within Incorta.
• Performance-Driven: Streaming logic enables high-speed data extraction directly from Oracle Cloud Applications.
• Incremental Loads: By utilizing filename patterns, Incorta achieves efficient incremental data loads without relying on last-modified timestamps.
• Adaptability: Seamlessly adapts to changes in BICC view objects, ensuring data consistency even as schemas evolve.

Why it Matters:
BICC is the go-to connector for large-scale data extraction, delivering performance at scale. By automating this process, Incorta minimizes manual intervention and accelerates data readiness for analytics.

2. Oracle Cloud BIP Connector (Business Intelligence Publisher):

• Extended Coverage: Extracts data when a View Object (VO) is not available through BICC. This is essential for custom reports or tables not seeded in BICC.
• Source-Level SQL Execution: Run sample SQL queries directly on source tables, bypassing the need for custom report creation.
• Chunking & CDC Support: The connector enables Change Data Capture (CDC) and data chunking, helping to more efficiently manage large datasets.

Why it Matters:
For custom data sets and ad-hoc reporting needs, Incorta’s BIP connector ensures no data is left behind, providing greater flexibility in Oracle Cloud data extraction.

3. Oracle OTM/GTM Cloud connector:

• Seamlessly extract data from Oracle transportation management cloud
• Very High throughput due to support of Asynchronous mode
• Supports handling of source deleted rows

4. Oracle WMS Cloud connector:

• Seamlessly extract data from Oracle warehouse management cloud
• Supports chunking to extract data from high volume tables

5. Oracle CPQ Cloud connector:

• Seamlessly extract data from Oracle configure, price & quote cloud
• Supports chunking to extract data from high-volume tables

6. Oracle B2C Service Cloud connector:

• Seamlessly extract data from Oracle B2C service cloud
• Supports chunking to extract data from high-volume tables

Why Incorta?

• Accelerated Deployment: Prebuilt data applications for Finance, Supply Chain and HCM reduce time-to-production by 10x
• Cost Efficiency: Minimize system migration expenses with simplified data pipelines.
• User Empowerment: Line-of-Business (LOB) users benefit from self-service analytics, gaining direct insights without IT bottlenecks.
• Reduced Migration Effort: By significantly reducing ETL needs and simplifying data modeling, Incorta reduces the time and resources typically required for migration.
• Lower Total Cost of Ownership (TCO): Reduced development, maintenance, and infrastructure costs contribute to a lower TCO.
• Faster ROI: Quicker implementation and faster access to insights lead to a faster return on investment.

Incorta’s Oracle Cloud connectors are redefining the data ingestion landscape, offering unparalleled speed, flexibility, and efficiency. Whether you’re migrating to the cloud, enhancing reporting capabilities, or scaling analytics – Incorta’s innovative approach ensures that Oracle Cloud data becomes a strategic advantage.