Blogs

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.

In this blog, we will dive deeper into ‘Data Ingestion’ and tell you how to get the data in your data platform using Microsoft Azure cloudservices.

The differences between cloud native Data Platforms on AWS and Azure. Make an informed decision and start exploring your data as quick as possible.

How does a Data Platform Architecture looks like when using Microsoft Azure Serverless services? Our Data Engineer explains.

How does a Data Platform Architecture looks like when using AWS Serverless services? Our Data Engineer explains.

What do we mean with “serverless” and can data platforms benefit from the serverless advantages? You’ll find all the answers in this blog.

Does your company need a data platform? This blog allows you to decide for yourself!

A story about data cravings, librarians and heroine. The perfect cocktail for a quick and relaxing read

Infofarm gets rid of the tagline ‘Data Science Company’ because it no longer covers the load of the Infofarm services.

What is a good streaming architecture and why it’s a good idea to start looking at implementing one

What is a good streaming architecture and why it’s a good idea to start looking at implementing one

Follow these steps if you want to build data-driven competencies for your organization

Your guide for building a data strategy to leverage value from your data

Discussing the world of consultancy and what it takes to deliver good consultancy services

Using Machine Learning to predict wether velo stations in Antwerp will be empty

Developing an AI-powered MCU car for PXL Digital’s Race to the Future

Using AI to automate the power of DevOps

Quantum computing is coming, and maybe faster than we think. Read all about the basics here.

Here’s how we realised more than 60% savings, based on Sam Goris’ song, Ambiance Ambiance!

We were at the heart of working on a web application for architects: the Tool to Optimise the Total Environmental impact of Materials, in short TOTEM.

OptaPlanner is the number one constraint solving engine, used to efficiently solve problems like route optimization, shift rostering, Task assignment and more.

When a company field trip to a farm turns out into a Proof of Concept with IoT devices and connected cows