ETL Hub: Streamline Your Data Flow with IMTEK

Efficient. Reliable. Scalable. Empower Your Data Transformation Process

Simplify Data Integration and Transformation with IMTEK's ETL Hub

IMTEK’s ETL Hub provides a robust, scalable solution for extracting, transforming, and loading (ETL) data from sources to target system across your enterprise. Whether you’re managing complex data sets or integrating systems, our ETL Hub service ensures your data flows seamlessly, enabling better decision-making and operational efficiency.

Key Features of IMTEK’s ETL Hub

Automated Data Extraction from Multiple Sources

Flexible to handle clients' specific requests

Seamless Data Transformation and Enrichment

Secure and Compliant Data Handling

Scalable, High-Performance Data Loading

Integration with Leading ERP and BI Tools

Real-Time Data Monitoring and Alerts 

Cleanse data to improve data quality and establish consistency

How IMTEK’s ETL Hub Works

Data Extraction

Use various ETL tools to extra data from a variety of different sources. ETL tools include but not limited to:

Talend

DataStage

Informatica

Alteryx

Data Transformation

Data extracted from source systems undergoes data processing. Data gets transformed and consolidated following business rules, client requests and the format that target platforms need. Including but not limited process:

Filtering, sorting, cleansing, aggregating, removing duplicates, validating data

Performing calculations, translations and summarizations

Removing and encrypting sensitive or protected data

Looking up data from tables and referenced files

Formatting the data into targets’ schema

Applying data validation, triggering alert and potentially rejection of the data

Data Loading

The Load phase, the transformed data from last step loads into target platforms, it could be a data warehouse, a planning system, or a simple folder. Depending on different clients’ requirements, target platforms could vary. The loading of all data could include initial loading, and then periodic loading, and then incremental changes loading on a schedule. Data loading could be a full refresh as well, we will tailor based on client’s business nature and requirements.  

Ready to Optimize Your Data Pipeline?