Data Engineering

Cloud platforms and new technologies have reduced the cost of data engineering and put it within the reach of all comers. Put another way, maximizing the value of your data is the new table stakes to remain competitive in the long term. We can support your data engineering effort in the following ways:

Data Migration

Optimize your data and migrate it securely to the Cloud to achieve high availability and scalability. Migrating your data to a centralized location also provides economies of scale and enables you to adapt and innovate faster.

ETL Pipelines

Create scalable Cloud, on-premise or hybrid ETL (extract, transform, load) pipelines using the latest technologies (Amazon Web Services, Google Cloud Platform, Microsoft Azure, Hadoop, Kubernetes, Docker, etc.). The extracted, standardized and filtered data is ready for insertion into a data store or Data Lake.

Data Lake

Drive your business intelligence by quickly aggregating and integrating data across your enterprise into a Data Lake. Built on standardized data with defined characteristics and context, a Data Lake serves the data to internal and external consumers via an API (application programming interface), a reliable "contract" with internal and external consumers - "Ask for data in this way and you will always receive it in this way". This API-based approach is the foundation of your highly scalable and flexible business intelligence system.

Data Analytics and Visualization

Create real-time data analytics web-based UIs, dashboards and visualization tools to streamline the process and help you make the best-informed decisions.