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Rapid Data Integration

Accelerate your data platform transformation and enhance your data infrastructure quickly and confidently.

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About the Solution

Rapid Data Integration

Our proven solution offers best practice patterns for implementing a modern data platform that can enable a wide range of data workloads across data lakes, enterprise data warehouse, enterprise ODS, DataMart's, reporting and AI/ML applications.

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A data architecture diagram showing data flow. On the left are seven data sources represented by icons and labels: Cloud Apps, Legacy Platforms, Databases, Data Warehouses, Data Lakes, Enterprise Apps, and Files. These sources connect to a larger boxed section labeled 'Target Modern Data Platform, Data Lake, Fabric Platform etc.' This section is divided into four columns: 'Raw', 'Candela ETL: Raw to ODS' (highlighted in orange), 'Consolidation', and 'Presentation Reporting' with 'AI/ML' below it. At the bottom is a note indicating that Candela generates SQL/Python code that executes within the target data platform.

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Accelerate with Confidence

Best-practice ETL without the heavy lift

Generate customised, platform native code and proven ETL patterns to accelerate time-to-insights, eliminate traditional migration hurdles, and cut total ownership costs with full visibility and control.

Faster Time-to-Insights

Deploy production-ready data platforms in days, not months.

Native Platform Integration

Customised code runs seamlessly on your target Modern Data Platforms.

Best Practice Methodology

Leveraing over a decade of ETL development expertise.

Reduced Complexity

Eliminate traditional migration challenges.

Cost-Effective

Lower total cost of ownership compared to traditional approaches.

Operational Control Centre

Deep insight into your data pipeline, guiding tuning and optimisation for perfomance and costs, data lineage and operational support.

How it works

Core RDI Components

Industry Best Practice ETL Methodology

• Developed through 10+ years of data integration expertise.
• Ensures data confidence and auditability.
• Comprehensive approach to data transformation.

ETL Code Generation

• Automated generation of optimised code.
• Template based approach for consistent maintainable code.
• Built-in performance optimisation techniques.
• Support for multiple databases.
• Automated testing and validation capabilities.
• Integration with version control systems.

Data Pipeline Control Centre

• Deep operational insights, including performance and cost optimisation.
• Comprehensive data lineage tracking.
• Robust operational support.

A dashboard interface showing data load metrics. At the top is a 'Today' dropdown menu. Below are two key statistics: an average load time of 05:12 and total data loads of 85.7k with 98% successful and 2% failed rates. The bottom portion shows a bar graph titled 'ETL Load Times' with multiple orange bars of varying heights representing different time periods.
Data Sources
Move data from a range of sources
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Dynamics 365 software logo.
IBM DB2 software logo.
Power BI software logo.
Sharepoint software logo.
Hubspot software logo.
SAP HANA software logo.
PostgreSQL software logo.
Google Ads software logo.
Tableau software logo.
Workday software logo.
Oracle Cloud Infrastructure logo icon.
Redis software logo.
Salesforce software logo.
MYOB software logo.
Google Analytics software logo.
Active Campaign software logo.
SAP software logo.
SQL Server software logo.
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Tool comparison

The Data Migration and Integration Challenge

Typically organisations face two opposing options when integrating source data with their modern data platform; hand code your ETL pipelines or use an additional SaaS tool.

Beyond giving you robust, repeatable and validated code - our RDI tool gives you back time!

RDI Solution
Hand-Coding
Third Party ETL
Time to Value
~1 Month
6-18 Months
3-6 Months
Development Cost
Low
High
Medium
Ongong License Cost
Included in Service
None
High
Skillsets Required
Minimal
Deep Engineering Skills
Third Party ETL Tool Specialists
Repeatability
High
Low
Medium
Security & Governance
Built-in
Custom Development
Varies by Vendor
Tool comparison

The Data Migration and Integration Challenge

Typically organisations face two opposing options when integrating source data with their modern data platform; hand code your ETL pipelines or use an additional SaaS tool.

Beyond giving you robust, repeatable and validated code - our RDI tool gives you back time!

RDI Solution
Time to Value
~1 Month
Development Cost
Low
Ongoing License Cost
Included in Service
Skillsets Required
Minimal
Repeatability
High
Security & Governance
Built-in
Hand Coding
Time to Value
6-18 Months
Development Cost
High
Ongoing License Cost
None
Skillsets Required
Deep Engineering Skills
Repeatability
Low
Security & Governance
Custom Development
Third Party ETL
Time to Value
3-6 Months
Development Cost
Medium
Ongoing License Cost
High
Skillsets Required
Third Party ETL Tool Specialists
Repeatability
Medium
Security & Governance
Varies by Vendor

Ready to transform your data platform?

Contact us to explore how our RDI tools can accelerate your data modernisation journey with confidence and precision.

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Ready to transform your data platform?

Contact us to explore how our RDI tools can accelerate your data modernisation journey with confidence and precision.

Thanks for reaching out, we have received your demo request and a member of our team will be in contact as soon as possible.
Follow us on LinkedIn!
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Use Cases

Customers who use RDI

Royal Flying Doctor Service company logo.
Centralised Data for Leading Remote Healthcare Provider
  • Extracted and integrated data from 1,491 source tables across five Microsoft SQL Server instances.
  • Created and deployed over 13,500 database objects, including tables, views and procedures.
  • Generated 2.6 million lines of consistent, reliable SQL code for ETL processes.
  • Delivered a fully operational centralised data platform within six weeks.
Platforms
Oracle Cloud Infrastructure logo.
SQL Server logo.
Customer Story
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Use Cases

Customers who use RDI

Royal Flying Doctor Service company logo.
Centralised Data for Leading Remote Healthcare Provider
  • Extracted and integrated data from 1,491 source tables across five SQL Server instances.
  • Created and deployed over 13,500 database objects, including tables, views and procedures.
  • Generated 2.6 million lines of consistent, reliable SQL code for ETL processes.
  • Delivered a fully operational centralised data platform within six weeks.
Platforms
Oracle Cloud Infrastructure logo.
SQL Server logo.

FAQs

Here you’ll find answers to some of the most common questions about our Rapid Data Integration solution.

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What is the Rapid Data Integration (RDI) Solution?

Candela's RDI Solution is a proven, metadata-driven framework that accelerates the delivery of production ready data platforms. It provides best-practice ETL patterns, automated code generation, and a control centre for monitoring, performance optimisation and operational support, all running natively on your modern data platform.

How does RDI accelerate time to insights?

RDI deploys production ready data platforms in days, not months. Automated ETL code generation, native integration and reusable best practice templates dramatically reduce build, testing and migration effort.

How does the best-practice ETL methodology help my team?

RDI incorporates more than a decade of data integration expertise into a consistent, audit-ready methodology. It ensures confidence in data quality, consistency in code structures, simplified debugging, and repeatable patterns for future workloads.

What operational visibility does the RDI Control Centre provide?

The Operational Control Centre offers deep insight into data pipeline perforemance, cost optimisation, data lineage, operational support and job health. This helps team proactively identify issues, improve reliability and streamline operations.

Is RDI suitable for large-scale data migrations and legacy data platform modernisation?

Yes. RDI is purpose built to simplify complex migrations, including those from legacy data platforms. Its automated ingestion, transformation and code-generation capabilities remove the heavy lift typically required when moving off older systems. RDI handles entire source system migrations end to end, reducing rework, accelerating delivery, and ensuring your legacy data is modernised into consistent, auditable, production ready structures on your new platform.

Can RDI help prepare my organisation for AI and ML workloads?

Yes, RDI builds the trusted, high-quality, auditable data foundation required for advanced analytics, AI and machine learning, accelerating the path from raw data to AI ready datasets.

Industry

Insights

Close-up of the word ‘DATA’ and an asterisk symbol displayed on a glass window, with blurred buildings visible in the background.
Data Engineering

Part 2: The Common Challenges of ETL

In today’s data driven landscape, building resilient ETL pipelines is not just a technical challenge, but a strategic imperative.
Full name
November 26, 2025
•
2 min read time
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Insights

Part 1: The Common Challenges of ETL

ETL is still essential, yet often underestimated when it comes to building trustworthy, scalable data pipelines in today’s AI-driven world
Full name
November 6, 2025
•
5 min read time
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Data Engineering

Data Challenges in Mainframe to Cloud Migrations

As Australian enterprises accelerate their digital transformation journeys, migrating critical workloads from legacy mainframes to cloud platforms has become a strategic imperative.
Full name
October 9, 2025
•
2 min read time
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