This is the final part of the series Fields of Application of Big Data. The 6th and previous part of this series can be read by clicking here. In this part, we are drawing a conclusion and providing an outlook. Although the development of big data is still in its infancy and many researches have only begun in recent years, the spectrum of application fields is already so broad that a … [Read more...]

It is the continuation of part V of the series Fields of Application of Big Datapart V of the series Fields of Application of Big Data. Even a child have a tendency to act independently within the framework of one's own possibilities and to determine without external control the goals and procedures of one's own actions. This fact shows that the need for autonomy is given high priority, which … [Read more...]

This is the continuation of the forth part of Fields of Application of Big Data. Illnesses increasingly occur in old age. Even if the causes are different, the health usually deteriorates only among the older peoples. The latencies of diseases are often high, so that they occur only in middle and old age. In addition, secondary diseases are possible due to previous illnesses. This allows the big … [Read more...]

In the future, it is likely that individual products such as the iPhone or Amazon Echo speakers would no longer be at the centre of attention, but rather networking and the accompanying flood of data in the software-defined world and exist with the help of artificial intelligence. Already we can see the progress of wearable consumer products like Samsung Galaxy LTE. Ultimately the consistent … [Read more...]

OLAP stands for Online Analytical Processing. OLAP is an application used to ease the query processing on data warehouse. The terminology OLAP was created by modifying the traditional database related term online transaction processing (OLTP). OLTP facilitates and also manages the transaction-oriented applications. OLAP is an approach to multi-dimensional analytical (MDA) queries and is a part of … [Read more...]

The casino is all about numbers, and so is big data. Winning a gargantuan amount of money is not something people tend to forget. And anyway, why would they? In the realm of the casino, and especially slotsslotsslots, this gargantuan amount of money can genuinely turn into the ticket to a completely new life. Casinos are ultimately a business and big data is a business tool. As such, the … [Read more...]

In order to follow this guide, one need to install Java (preferably Sun Java) installed, MySQL 5.x and Hadoop cluster. We already have published separate guides on how to install Percona MySQL on Ubuntu server and how to install Hadoop on single server. Chukwa visualization interface requires HBase. Chukwa is a system designed for reliable log collection and processing with Hadoop. Chukwa cluster … [Read more...]

Choosing the correct type of database is an important part of developing a new application. In our earlier publications, we have discussed about four common type of databases used in different data science related applications, which are Key-Value Database, Graph Database, Document-Oriented Database and Column-oriented Database. In addition, there is traditional RDMS, such as MySQL and the new … [Read more...]