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06
Nov 2017

IT IS HERE TO STAY! (UN)COMFORTINGLY ABOUT FRAUD DETECTION

„Our experience has taught us that if your organization hasn’t created and thoroughly tested, repeatedly, a cyber incident response plan across all business areas and personnel, as well as performed simulations of cyber attacks, you won’t do a good job of responding when it occurs for real. We see over and over that it is very difficult to make good decisions when you’re responding to a real attack in the heat of the moment.” /David Burg, Cyber Security & Privacy Leader PwC/

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25
Sep 2017

SPARK VS. HADOOP – A SETTLED DILEMMA?

It goes without saying that for the last decades a vast majority of institutions, companies, firms and the like, have dealt with the Big Data reality, which required or just forced the urgent necessity to create processing platforms capable of storing and analyzing this vast amount of data. Here is why Hadoop and Spark, later on, around the year 2008, came into picture.

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08
Aug 2017

An Apache Spark application for big data processing in a real estate market software system.

High-volume data streams and a great number of reports for the real estate market was what we were confronted with on one of our client’s projects. More specifically, the client faced a tough scalability problem: the property market reports generated from such a big data set took up to 3 hours to produce (just for 100 markets). Worse, this time was increasing as each day a few million new records were fed to augment the data set. In a step to resolve the problem, the client decided to invest in a new system architecture.

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28
Jul 2017

Applying Machine Learning to Cryptocurrency Trading

The post features an account of a machine learning enabled software project in the domain of financial investments optimization / automation in blockchain-based cryptocurrency markets. The article specifies the domain problem addressed as well as describes the solution development process and the key project takeaways.

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21
Jun 2017
15
May 2017

A machine learning solution for better user experience

We have recently had an opportunity to design and develop an independent machine learning-based service for a social publishing and e-learning platform. The client needed to build a service that would deliver a recommendation system with automatic content classification. In this post I would like to share some background to the work as well

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22
Nov 2016

Red Hat plans to deliver Eclipse Kapua into OpenShift

Red Hat recently announced that the next release of Eclipse Kapua IoT backend platform will be distributed not only as jar, but also as a set Docker images. In particular Red Hat plans dockerized version of Kapua to run smoothly in the OpenShift Origin PaaS. Eclipse Kapua is a modular IoT cloud platform to manage and

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