Spreadsheets emailed back and forth, copy-paste routines, and ad-hoc scripts. We’re constantly moving data through manual processes. Teams often rely on these processes because systems aren’t integrated, resources for automation are limited, or quick fixes seem easier than a long-term solution.
To begin with, it’s manageable, especially when you have small datasets. But as data volumes grow, complexity increases, and this causes inefficiencies and introduces risk.
We can all be guilty of human error and inconsistent formatting, and both can lead to inaccurate reporting. How can we become more efficient with data transfer? By using Extract, Transform, Load (ETL).
What is ETL?
ETL is an automated process moving and preparing data so it’s ready to use. It works in three stages.
1. Extract
Pulls data from multiple sources (databases, application files)
2. Transform
Cleans, standardises, and structures the data for consistency
3. Load
Pushes the data into another system, such as a database, data warehouse, or analytics platform, ready for analysis.
ETL runs automatically or on a schedule to reduce human involvement and risk.
The benefits of ETL over manual data transfer
Accuracy and consistency
Automated workflows remove the risk of copy-paste errors and make sure data is always in a consistent format.
Time savings
ETL automation frees teams from repetitive tasks, enabling them to focus on higher-value activities.
Scalability
ETL handles large, complex datasets.
Real-time insights
Data moves quickly, enabling timely reporting.
Compliance and security
Automated processes maintain audit trails and apply standardised security measures.
ETL scenarios
ETL is about how data moves, not where it lives, and the destination relies on your architecture and goals. There are four ways to move your data:
On-premises to on-premises
Move data between internal databases or systems. ETL can run entirely within your local infrastructure.
On-premises to cloud
Migrate or sync your data to cloud platforms for analytics, storage, or integration.
Cloud to cloud
Move data between cloud services, for example from a SaaS application to a cloud data warehouse.
Hybrid
You can bridge on-premises and cloud environments. This means that you can keep some systems on-premises, run others in the cloud, and the ETL pipelines keep them in sync.
Examples of ETL
We implemented an API-based ETL integration for our client, who needed access to their Contact Management System (CMS) for Business Intelligence (BI) reporting. It was an on-premises integration.
How we did it:
Extract: We created a new ASP.NET service to run within the client’s infrastructure. This service consumed webhook notifications sent from their CMS.
Transform: We transformed the incoming webhook messages into a more suitable format and supplemented the incoming data with additional details retrieved from the clients CMS via an API integration. We utilised Microsoft Entity Framework as the Object Relational Mapper (ORM) to simplify the mapping of objects between the service and the database.
Load: The transformed data was then stored in a SQL Server database, ready for reporting and integration with other internal systems.
A client needed to make a subset of their on-premises SQL Server data available in Microsoft Azure for downstream processing (such as Azure Databricks), without disrupting their business-critical manufacturing system.
How we did it:
Extract: We extracted the subset of data from the on-premises SQL Server database.
Transform: The target schema was similar, but we made sure that there was transactional consistency and we optimised the target database for its specific workload.
Load: We implemented SQL Server replication to synchronise the selected data to Azure SQL database.
Conclusion
Although manual data transfers are a quick fix, you’re using more resources and at risk of errors. ETL is an automated alternative.
We can help you replace manual processes with ETL to help improve workflows and make your data management more efficient.
Feel free to contact us below or visit our ETL page for more information.
