Data Engineering

12-12-2017

We know big data from A to Z. Our data engineers possess broad technical knowledge and extensive experience in all modern and relevant data technologies. In close cooperation with the data scientists, they realize software solutions, data infrastructures and architectures that are ready to be put into action. These include software development, quality assurance, testing and implementation. Flexibility and agility are also significant components of our processes, such as ITIL.

We provide well-substantiated data and facts – the know-how to go with the gut feelings – and supplement traditional conception methods with the crucial addition of data analysis. Thanks to our know-how and the use of proven and state-of-the-art technologies, we can satisfy the highest requirements of our clients in every aspect.

Basefarm service

- Generating, collecting, storing, processing, concentrating and rolling out data (in data lakes)
- Realizing/operationalizing data products and services that are sure to succeed
- Customized programming of software applications
- Tailored for use in each application scenario

 

DATA SCIENCE

We utilize data, technology, algorithms, analytics and the right mindset to develop use cases or to solve specific issues. We also advise and support organizations in every aspect of their digital development.

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WHAT IS BIG DATA?

– A DEFINITION WITH FIVE VS:

To define where Big Data begins and from which point the targeted use of data become a Big Data project, you need to take a look at the details and key features of Big Data. Its definition is most commonly based on the 3-V model from the analysts at Gartner and, while this model is certainly important and correct, it is now time to add another two crucial factors.

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WHERE DOES BIG DATA BEGIN?

– MANY PERSPECTIVES, ONE CLASSIFICATION

To classify Big Data decisively is not so easy. Firstly, it is not just a stand-alone term but rather a combination of many aspects to reveal a whole picture. And secondly, Big Data is a buzz phrase that is used in various situations and is constantly developing. It is time to set things straight.

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