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.
Many people use several devices and have data stored on them. What should you do if your data carrier fails or the data gets lost? Backing up data is extremely important and an online backup makes perfect sense. By doing this, you don’t risk losing your important files due to a system crash or criminal activitiy. What is the best option? Here is a comparison of online backup service providers.
The total amount of data generated worldwide increases by 40% every year. Many companies seek to make use of the constantly increasing mountain of data in order to increase their e-commerce business. But making use of such Big Data alone doesn’t add any value — enter data mining. Below you can find a discussion of the various analysis approaches involved in data mining, to give you an idea of how...
Throughout the internet, users leave behind digital footprints: whether it’s while browsing your favorite sites, taking a look at different products or offers, or even just googling an address. With the help of analyses and algorithms, data-driven marketing makes it possible to connect the dots and find relationships. Marketers are able to extract important information from these findings in order...
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.
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...
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...
If large amounts of data have to be indexed and structured, the license-free engine, Elasticsearch, is a popular solution. The Kibana web interface is often used to present the processed data in an appealing form. Together with Elasticsearch and Logstash, this forms the so-called ELK stack. In our Kibana tutorial, we explain step by step how to get the server application Kibana up and running and...
So you think Alexa can do a lot? Well, it’s now possible to add even more capabilities to the smart Amazon Echo speaker. If you network it with external providers, you can extend the pre-configured functions with different applications. With Amazon Alexa Skills, Alexa becomes a personal assistant who can coordinate your everyday life, if you want it to. But not all of the 10,000 additional...
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.
