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Big Data

Data Science + Data Management



UNLOCK THE POTENTIAL OF DATA-DRIVEN BUSINESS OPERATIONS

Big data is a collection of data from traditional and digital sources inside and outside your company that
represents a source for ongoing discovery and analysis. The skilled deployment and use of big data
analytics tools can help you increase your company’s operational efficiency, drive new revenue and gain
competitive advantages over business rivals.
 

BIG DATA EXPERTISE

  • Machine learning
  • Data visualisation
  • Big Data databases
  • Semantic networks
  • Predictive models (predictive analytics)
  • Statistical modeling
     

DATA ENGINEERING FOR ENTERPRISES

What is Big Data? How does it work? And what are the benefits companies can expect from it?

Big Data summarizes all methods that allow us make use of the huge and permanently growing amount of data as a valuable resource. Peter Baumann helps companies to win, structure, understand and use data as resources for decision making in applications, innovation management and strategic business planning.

The more data a company generates the more it needs people who understand how to analyze and interpret them.

Jacobs University offers several qualification and collaboration programs to make your company fit for Big Data. 

  • Big Data Workshops, Seminars or Certificate Programs for Executives based on your company’s demands
  • Knowledge Transfer and implementation to make Big Data methods become a useful tool for your company operations

Our Expert: Peter Baumann, Professor of Computer Science at Jacobs University

One of the “100 Most Promising Big Data Solution Providers of 2016”

Research by Peter Baumann, Professor of Computer Science at Jacobs University, has been recognized once again: The US magazine CIO Review described Rasdaman - raster data manager - as one of the “100 Most Promising Big Data Solution Providers of 2016.”

So-called “arrays”- specialized, highly detailed data types used in data analysis - are now simply a fact of everyday life, appearing in sensor, image, simulation, and statistics data across all domains. They are the basis for simulating and analyzing large quantities of data - and offer enormous economic and social advantages, like product developments targeted towards a specific audience, recognizing rogue waves before they strike, or locating oil spills on the ocean.

Professor Baumann's approach is a new one. He combines the flexibility and standards of conventional SQL technologies with the function of arrays. The latter allow him to apply his program in the context of “data cubes,” the multi-dimensional representations of data. Rasdaman can quickly process enormous quantities of data and combine different data sources with one another or make them available worldwide. The idea is very much a forward-thinking one - CIO Review provides this assessment:  “Rasdaman, which truly has the potential for becoming a game changer right tomorrow!”