Data Science

12-12-2017

Our team of DataScientists has extensive experience in big data processing and unique expertise in the latest processes within the fields of artificial intelligence, machine learning or predictive analytics. The realization process is carried out in accordance with the DSPM (Data Science Process Model)

Basefarm service

- Big Data Consulting – from the very first case history to the possible applications.
- Identification of relevant issues and use cases in the context of data and analytics.
- Selection, checking and consolidation of the right data sources and selection of the possible approach.
- Development of the mathematical models from the areas of deep/machine learning, natural language processing and statistics.
- Development of prototypes and showcases of data products that are sure to succeed.

 

DATA ENGINEERING

The use of data engineering to generate, collect, store, process and concentrate data, and roll out the subsequent instances. How to best design your data lakes and when necessary, our data engineers supplement the software and infrastructures with the optimal tools and components.

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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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