Case Study: LeadingRE Optimizes Partner Data Integration and Image Processing with Etlworks

LeadingRE Scales Partner-Specific Pipelines and Dynamic Image Processing with Etlworks.

Introduction

Leading Real Estate Companies of the World (LeadingRE) is a global network of premier real estate firms. With hundreds of partners providing data in various formats, LeadingRE needed a robust, flexible, and scalable solution to manage data integration, process images, and connect to external data sources efficiently.

The Challenge

Leading Real Estate Companies of the World (LeadingRE) faced several complex data integration challenges due to the nature of their operations:

Diverse Data Formats: Partners provided data in XML and JSON formats that needed to be processed and loaded into MySQL databases.

High Volume: Hundreds of unique pipelines had to be developed for various partners, each requiring custom configurations.

Dynamic Image Processing: Extract image names from XML files and copy images from HTTP URLs into a centralized S3 bucket with dynamically generated paths based on metadata.

External Data Connections: Required seamless integration with OData-based data sources for additional data enrichment.

Why Etlworks

LeadingRE chose Etlworks because of its unparalleled flexibility and ability to handle highly diverse and complex use cases. Etlworks’ platform provided:

• A no-code/low-code environment to build custom pipelines efficiently.

• Support for dynamic data processing and metadata-driven workflows.

• Robust integration capabilities with APIs, file-based sources, and OData data sources.

• Scalability to manage hundreds of unique workflows while maintaining performance.

The Solution

Etlworks delivered a fully automated data integration solution tailored to LeadingRE’s needs:

Partner Data Integration: Built pipelines to process XML and JSON files provided by partners and load the data into MySQL databases, both directly and via APIs.

Dynamic Image Handling: Developed workflows to extract image names from XML files and copy corresponding images from HTTP URLs into a centralized S3 bucket, with dynamically generated paths based on metadata.

OData Integration: Enabled seamless connections to OData-based data sources for enhanced data processing.

Scalability and Reusability: Created reusable components for similar pipelines, reducing development time for new partners and workflows.

Results

Streamlined Data Operations: Automated the ingestion and processing of partner data, reducing errors and manual workload.

Improved Image Management: Efficiently handled large-scale image extraction and storage with metadata-driven dynamic organization.

Enhanced Connectivity: Seamlessly integrated with OData-based systems, enabling LeadingRE to access external data sources without friction.

Scalability: Supported hundreds of unique partner pipelines, allowing LeadingRE to onboard new partners and use cases with minimal effort.

Customer Quote

“Etlworks has completely transformed how we manage partner data and workflows. The flexibility of the platform, combined with the ability to handle complex metadata-driven processes, has allowed us to scale our operations seamlessly.”

Key Takeaways

Flexibility: Etlworks supports diverse data formats and metadata-driven workflows.

Scalability: Handles hundreds of unique workflows with ease, enabling future growth.

Dynamic Processing: Efficiently manages dynamic paths and processes for image and data storage.

Connectivity: Integrates seamlessly with OData-based systems and other external data sources.

Ready to tackle your most complex data challenges? Discover how Etlworks can transform your data integration workflows. Start your free trial today or request a demo.