embrace data

on (kubernetes|aws|gcp|azure|on-premises)

more details [DE]

Data engineering

We build and maintain data pipeline systems

Data science

We deal with mathematical models and apply common methods of data mining, machine learning and predictive modeling

Software development

We implement scalable backend services to provide seamless data access

operations

We take care of our solutions and 3rd party implementations. We run it, we train customers and we are available as 3rd level support

Latest posts from our developer blog

by thomas.memenga on 14 Nov 2022

datahub: user and group management with keycloak

About Datahub The Datahub metadata platform enables data discovery, data observability, and federated governance that helps tame the complexity of your data ecosystem.

by thomas.memenga on 04 Apr 2020

Implementing a sink as a function (consumer) with spring cloud stream function for spring cloud data flow

In the 7th part of our blog post series “processing GDELT data with SCDF on kubernetes” we will use spring cloud stream’s built-in support for spring cloud functions to implement a sink as a simple consumerfunction.

by thomas.memenga on 02 Apr 2020

Implementing a processor as a function with spring cloud stream function for spring cloud dataflow

In the 6th part of our blog post series “processing GDELT data with SCDF on kubernetes” we will use spring cloud stream’s built-in support for spring cloud functions to implement a processor as a simple function.