Predictive Analytics: Applying Machine Learning in Big Data Environments

Big Data applications do not only depend on exceptional technologies to efficiently store and access large amounts of data, but also require highly sophisticated analytics techniques in order to gain as much insight and added value from the available data as possible. Especially in the field of Predictive Analytics the combination of Machine Learning (ML) and computational statistics offers powerful tools to identify and describe trends and behavior patterns from the automated analysis of historical data. Many of these toolkits have been developed for scientific…

Right Data: Why Big Data Sometimes Just isn’t Enough

Big Data is everywhere! The sources of Big Data are manifold and are related to several popular topics: sensors in vehicles (Connected Car) or production lines (Internet of Things, IoT), mobile communication, social media, and many other areas are capable to steadily produce enormous amounts of data. The pure collection of data is not an end in itself. The underlying goal is to generate additional value from it through skillful exploration. In recent years, the ability to both store and process Big Data sets improved…

Who is Faster than the Competition?

The proceeding digitalization is causing branches and markets to change rapidly. Each company, no matter what branch or whether the company is small or large, is giving strategic thoughts to who the customers are today and who will be the customers tomorrow as well as who the competition is today and will be the competition tomorrow. Often the competition is not even from the direct market environment, but from a totally different area.

The Value of Data in Big Data Architectures

A new “V” for Big Data Big Data, an enabler for many next-generation use cases is defined with the 3 „V“ s „Volume, Variety and Velocity“ in the literature. These characteristics describe a new set of requirements for which every company has to develop a strategy.

Cybersecurity: Big Opportunities for Big Data

What has Big Data been up to? Big Data has been a major topic in the IT realm for years. The terms Big Data and Big Data analytics are generally used to describe the potential for new insights into our environment by making sense of the rapidly increasing amount of information produced by the growing number of connected devices. But what is the bigger picture in the potential of Big Data in cybersecurity?

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