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Welcome to the Farm
We harvest business value with the power of Data Engineering and Advanced Analytics
Infofarm is your partner for transforming your company into a data-driven organization. We match strategy thinking with technical skills to help you in building sustainable and future-proof Data Platforms, while delivering value from your data with Artificial Intelligence techniques.
We plow your data, grow insights and harvest business value!
One day data platform
Set up in one day. Ready for integration with your data sources.
BI reporting and machine learning components included.
Set up according to well architected principles.
Interested?
services
data strategy
It is our main goal to bring data, technology, people, and performance together and align them with the overall corporate strategy and objectives.
data engineering
We’re levering the power of Microsoft Azure, Amazon Web Services, Apache Spark and Kafka to build scalable, secure and accessible data solutions.
data science
We apply Artificial Intelligence, Machine Learning & Deep Learning techniques to get value from your data and help you in making better decisions.
We build end-to-end data-driven solutions
At Infofarm, we bridge the gap between the Academical world of Computer Science and the IT-technical world of software engineering. It is our mission to help organizations make smarter decisions or improve their operational activities by building data-driven solutions with AI technologies.
Perform our free online Quick Scan
By performing our Quick Scan, you will get a high-level view on where you are standing today regarding your data strategy and environment.
Get inspired by our stories
In this blog, we’ll tackle one of the most-asked questions nowadays: which reporting tool should I pick? At the end of this blog, you’ll have a better idea of the option which suits you best. Thanks!
The goal of this second blog about ETL on AWS is to apply the theory that we've learned in the previous blog and experience what it's like to build an ETL pipeline and how GLUE interacts with other AWS services.
This blog tells you all you need to know to start building your ETL pipeline in AWS and tackles the next steps that are needed to extract, transform & load your data for analytics, reporting & machine learning.
As the data world is very eager to come up with new concepts, it is very understandable that it’s hard to keep up. In this blogpost, we'll try to explain all different concepts to you.
In this blog, we will dive deeper into Azure Synapse Analytics and give you a short overview of how it is most useful and give a quick comparison to Azure Databricks.
In this blog, we will dive deeper into 'Data Ingestion' and tell you how to get the data in your data platform by using AWS cloudservices.
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