The programming language R allows data scientists to manage large volumes of statistical data. R offers some interesting advantages such is its varieties of libraries, its graphic visualization capacity and the fact that it's open code.
The advantages provided by the developments of Big Data and cloud computing technology have made it possible to build data analytics projects much more easily.
Here is an insight into how to build your own unmanned aerial vehicle.
Apache Spark has revolutionized the world of Big Data. Faster, more scalable and more sustainable, this open source distributed computing platform offers more powerful features than many other proprietary solutions.
All of the tools which you need to rely on to develop in any programming language are compiled in this ebook: from HTML to Java, PHP to Python... among others.
JavaScript is an essential language for developing web projects and applications. Its use has extended to the entire development stack. Thisis a list of JavaScript frameworks and libraries for developers.
Data beyond analysis and improved decision-making? This is a world worth exploring and many startups are choosing this path within Big Data.
Perl is a general-purpose easy-to-use programming language that allows developers to write code rapidly. It also has numerous libraries and modules that considerably extend its functionality for developing web projects.
The arrival of tools for the real-time analysis of Big Data has brought with it many advantages for companies that need to deal with the constant mass entry of data and extract real value from this flow of information.
Some companies already have APIs available for developers to program applications and services related to drones, allowing their control by devices such as cell phones or tablets, route planning, 3D modeling...
