Version – SSIS 2013
Client based in – USA
Healthcare
Generic extract package that executes stored procedurs
Developed a reusable SSIS framework that enables organizations to generate large-scale data extracts by executing SQL stored procedures, eliminating the need for SSIS expertise while supporting automated file generation, archiving, SFTP delivery, and centralized ETL logging.
The Challenge
What Was Holding the Business Back?
Extracting large healthcare datasets required technical SSIS expertise, making data delivery complex, resource-intensive, and difficult to scale.
SSIS Dependency
Business users relied on specialized SSIS knowledge to develop and maintain extraction packages.
Dynamic Metadata
Stored procedures returned varying result structures, making traditional SSIS mappings unsuitable.
Large Data Volume
Processing high-volume healthcare datasets introduced memory and performance challenges.
Manual Processes
File generation, archiving, transfers, and execution tracking required repetitive manual configuration.
Objective
What We Set Out to Achieve
Develop a reusable SSIS extraction framework that enables users to generate data extracts by simply creating SQL stored procedures. The solution needed to support dynamic metadata, process large datasets efficiently, automate file delivery, and integrate seamlessly with the existing ETL framework.
Our Approach & Solution
How We Delivered Results
A configurable SSIS framework was developed to execute stored procedures dynamically and automate end-to-end data extraction workflows.
01
Dynamic Execution
Designed a generic SSIS package capable of executing one or multiple stored procedures without predefined metadata mappings.
02
Flexible Extraction
Generated configurable output files supporting multiple formats, file structures, and customizable extraction settings.
03
Workflow Automation
Automated file archiving, secure SFTP transfers, and ETL execution logging to streamline operational processes.
04
Framework Integration
Integrated the package with the customer's ETL framework, allowing centralized configuration and execution management.
Dynamic Metadata
Handled varying stored procedure outputs without third-party components, eliminating static metadata dependencies.
Configurable ETL
Enabled execution settings, file formats, destinations, and processing options through centralized configuration.
Secure Delivery
Automated archival and secure SFTP transfers as part of the extraction workflow for reliable data distribution.
Execution Logs
Captured detailed execution history within the ETL framework for monitoring, auditing, and troubleshooting.
Results & Impact
The Outcome
The solution simplified enterprise data extraction while improving automation, scalability, and operational efficiency.
1 Pkg
Reusable SSIS Framework
Auto
File Distribution
Multi
Stored Procedure Support
ETL
Centralized Execution
Conclusion
The Bigger Picture
The generic SSIS extraction framework transformed a complex, developer-dependent extraction process into a reusable and configurable enterprise solution. By enabling users to generate data extracts through SQL stored procedures while automating file generation, archiving, secure delivery, and execution logging, the organization reduced operational complexity and improved scalability. The framework provides a flexible foundation for future data extraction requirements without relying on third-party components.
Additional Details
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