ETL on AWS – Ain’t got a clue? Use AWS glue!

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.

Data Mess: Data Platform, -Warehouse, -Lake, -Lakehouse, -Mesh, … What’s the difference?

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.

ETL with Azure Synapse

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.

Data Ingestion in AWS

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.

Data Ingestion in Microsoft Azure

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.

Data Platforms – The differences between AWS & Azure

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

Azure Serverless Data Platform Architecture

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

AWS Serverless Data Platform Architecture

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

Advantages of a Serverless Data Platform 

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