In this article by Gergely Daróczi , author of the book Mastering Data Analysis with R we will discuss Spatial data, also known as geospatial data, which identifies geographic locations, such as natural or constructed features around us. Although all observations have some spatial content, such as the location of the observation, but this is out of most data analysis tools' range due to the complex nature of spatial information; alternatively, the spatiality might not be that interesting (at first sight) in the given research topic. On the other hand, analyzing spatial data can reveal some very important underlying structures of the data, and it is well worth spending time visualizing the differences and similarities between close or far data points. In this article, we are going to help with this and will use a variety of R packages to: Retrieve geospatial information from the Internet Visualize points and polygons on a map
In this article by J. Powell , the author of the book Mastering vRealize Automation 6.2 , we put together a design and build vRealize Automation 6.2 from POC to production. With the knowledge gained from this article, you should feel comfortable installing and configuring vRA. In this article, we will be covering the following topics: Proving the technology Proof of Concept Proof of Technology Pilot Designing the vRealize Automation architecture
This article by Luis Augusto Weir , the author of the book, Oracle API Management 12c Implementation , gives you a gist of what is covered in the book. At present, the digital transformation is essential for any business strategy, regardless of the industry they belong to an organization.