When it comes to online marketing, data is what counts most today. But what good is the information you have collected and analyzed if you address indefinite groups of people in your messages? It is better to identify the people behind the data set and focus on them. Creating concrete buyer personas helps to better align marketing measures with the target group.
In-memory databases enable big data to be analyzed and made available in real time. The quick access speeds are made possible by storing the data on the working memory – hence the name in-memory database. Traditional databases, on the other hand, are based on the method of storing data on the hard disk. How do in-memory databases differ from traditional database systems? And what are the go-to...
BLOB is short for Binary Large Object. The data types in a BLOB are typically classified as being unstructured data. A typical example of an unstructured data type is multimedia files, which are usually stored in databases as a BLOB. Since databases cannot read the unstructured data in BLOBs, special data processing methods are required.
Process mining applications provide methods with which you can reconstruct and visualize processes using event data. The goal is to prepare implicit process knowledge in such a way that you make it available to employees and applications as explicit knowledge. Read how this works and what advantages and disadvantages are associated with it.
The internet never forgets – is it always true? In some cases, search engines are obliged to grant users permission to delete defamatory search results. If Google displays personal data that is outdated or of no interest to the public, users can request the search engine to delete links to that data from the results pages permanently. But what exactly is the ‘Right to be Forgotten’ act, and when...
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...
Processing big data plays an increasingly important role in many companies. Among the key tasks are the separation of important and unimportant data and the creation of suitable visualizations to be able to present the results in an appropriate form. The open source tool Jupyter Notebook proves to be an excellent solution for this, as well as for displaying live code.
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.
Tools like Google Analytics provide store and website operators with extensive data about customers and visitors. Performing an analysis of this information is crucial if you want to accelerate the success of your web project. Examining the database isn’t as easy as it sounds. Cohort analyses are becoming more and more frequent in online marketing to help companies define user behavior and succeed...
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.
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