Your benefits at a glance:

Any enterprise creates different amounts of data from different areas and systems. They all have one thing in common: The flood of data never stops and cries out to be leveraged. Petabytes of data from heterogeneous source systems need to be validated, structured, and normalized to analyze and eventually leverage them. This in turn requires powerful data pipelines or ETL processes (extract, transform, load) to transform and harmonize data assets. evoila helps you to set up your systems and processes optimally.

Get the most out of your data for your enterprise
Get rid of data silos with ETL processes
Benefit from best-in-class Technologies
Increase developers’ and data scientists’ productivity
We can also help you with ELT
Learn more about ETL tools to make the most of your relevant data.

Typical scope of application of ETL

ETL processes are omnipresent, where massive quantities of information need to be provided, processed, and analyzed. Useful applications are:

Storage of data in a data warehouse / data lake
Provisioning of data for business intelligence applications (data mining)
Extraction of data from distributed data base environments and from the cloud
Data migration between different applications and systems
Data replication for backup and redundancy purposes

Main phases of the ETL process

The ETL process is comprised of three distinct phases They include:


Extraction of data from diverse sources


Transformation of data structure and information in the format and scheme of the target database


Uploading of transformed data on the target data base or data warehouse

“By 2023, enterprises using data fabrics to dynamically connect, optimize, and automate data management processes will reduce the time for integrated data provisioning by 30%.”

Magic Quadrant for Data Integration Tools (Updated March 9th, 2021, published August 18th, 2020)

Consulting for your ETL data warehouse

ETL lines are a specific variant of a data pipeline, which is primarily used in the data warehouse context. Many analytical processes initially require the extraction, transformation, and loading of data. During the extraction step, data is read from different data sources. This can be a one-time process, a recurring batch process, or a “data streaming”. During transformation, the data is validated, normalized, enriched, and restructured. The load is the last step of the ETL process. In this step, the data obtained in the transformation process is fed to a target system.

Profound expertise and sophisticated ETL tools

The ETL process is one of the most critical processes when developing or implementing an analytic application. evoila provides you with a plethora of ETL solutions for different scopes of application. Our big data team is available to your enterprise regardless of the scale of your endeavor and will draft a customized ETL process together with you. In close co-operation, we will determine all requirements, analyze data sources, and target systems, and evaluate your use case. Our consultants cover a wide range of technologies and will support you comprehensively when querying specific data sources as well as during processing, parsing and classification, and ingestion of data to the target system.

evoila: Your expert for massive amounts of data

The evoila group offers you experienced experts regarding ETL and for areas like cloud, hyperscaler, data engineering, data analytics & machine learning, security, and software development. This enables us to comprehensively manage your project. We furthermore operate independently from cloud providers and technologies.


Our experienced team offers you

Architectural design & review
Managing and hosting of on-premises- and on-cloud solutions
Certified experts in multiple big data technologies
24/7 support & managed service
Individual consulting for any development phase
Individual modes of co-operation