Big Data

Information Retrieval: how Search Engines retrieve Data

In our everyday life, we search for and receive a lot of information. Through the Internet, the searching for data and facts has changed tremendously. Search engines help us find the information we need from the vast amount available. But how do Google and other search engines actually gather the information? Behind both large search engines and smaller library databases, there are so-called...

Google Data Studio for visual data analyses

Data analysis is a purely theoretical matter for most people. But in order to provide the customer with information, it’s important to be able to visualize sets of data. With Google Data Studio, you can summarize data from different sources into one handy report. Our guide gives you an overview of Google’s latest offering.

Microsoft Access alternatives at a glance

MS Access is widely used office software and enables people with no prior programming knowledge to work with databases. The license for the program, however, is not exactly cheap. Several free alternatives to Microsoft Access promise to do essentially the same thing. But which are the best Microsoft Access alternatives? And can they actually keep up with the range of functions and standard of...

DWH | What is a data warehouse?

More and more businesses are adopting dispositive data with the aim of making strategic decisions shaped by reports, prognoses, and patterns. The database is usually supplied by an information system that functions as a central data repository, separate from a data operating system. This is known as a data warehouse, or a DWH for short. A data warehouse is a modularly built system made up of...

Predictive analytics | Definition and examples

What is predictive analytics? The subsection of big data analysis has similarities to data mining. But what exactly is the difference and how does predictive analysis actually work? We provide the answers on this method of data analysis, show you what it is used for, and what tools there are for using the technique of predictive analytics.

Symfony: useful PHP library for your web project

Over 30 independent components, long-term support for four years, and over 500 million downloads: the PHP framework Symfony is undoubtedly one of the most successful component collections of this popular script language. But what exactly is this project created by the French company SensioLabs? And which types of web applications can benefit from using this web application framework?

E-books part one: how to create an e-book

The interest in e-books has largely increased in previous years, and modern reading devices with energy-saving ‘e-ink’ display technology have now made the once niche product a mainstream contender. In our multi-part series, we give you tips on creating your own e-book. Welcome to part one: things to consider regarding planning, structure, and publishing.

Ruby on Rails: creating your own with less code

Frameworks tremendously simplify web application development. Fundamental architectures, predefined paradigms, and integrated libraries create the perfect platform on which your planned app can be built. One name that’s often mentioned hand-in-hand with web applications frameworks is Ruby on Rails. Based on the script language Ruby, this web framework has attracted many fans through its clean, and...

Display advertising vs. real-time advertising (RTA)

Banner ads and other forms of display marketing have been proven to be effective marketing strategies for products and services online. The new practice in this field is real-time advertising (RTA) and its real-time bidding (RTB) approach. This new strategy carries out an automated bidding war in milliseconds to decide which ad will be displayed. But how does it differ from traditional display...

Apache Hadoop: the framework for Big Data

Are you looking to execute complicated computing processes with large amounts of data? This is exactly what the Big Data framework, Hadoop, focuses on. The open source Apache software offers a Java based frame with which various Big Data applications on computer clusters can be parallelized. Hadoop’s modular expandability, which offers users an enormous range of functions, is a particularly...