To expedite both processes, the young, Polish innovator Krystian Piećko has developed DataWalk, a platform that integrates data from multiple sources into a single repository and is extremely efficient at performing data analysis. This accomplishment has led to Piećko´s inclusion in MIT Technology Review´s Innovators Under 35 Poland 2016 awards.
“The main advantage [of DataWalk] is the ability to perform calculations without having to move data around,” Piećko explains. “Another advantage is that it allows the user to connect and integrate data from different sources easily and without any time-consuming work to be done in advance to structure the data according to the type of analysis to be performed on them in the future.” According to this young, Polish innovator, “the value of big data resides in extracting knowledge from the data,” but its complexity prevents exploratory analysis without first defining what type of questions will be posed before designing the software that structures the data and prepares it for analysis.
Piećko says: “Our platform performs data integration 10 times faster, which reduces the implementation period for big data projects by up to three months, whereas other solutions take years to develop,” he highlights. One of the primary industries interested in the software developed by Piećko´s company, PiLab, is the data analysis of financial transactions as a detection mechanism for money laundering activities.
One of the keys to DataWalk´s agility resides in the way that the platform manages the data. “Analyzing data normally means moving terabytes from one physical location to another, in order to perform the analysis,” says Piećko. This movement slows down the rate of operation and multiplies the resources dedicated to data traffic and storage. DataWalk, however, “doesn´t need to duplicate the stored information in order to proceed to the analysis stage, which makes it more agile,” he concludes.
Source: Innovators under 35
Photo © Bartosz Kopańczyk