Is known as Big Data the treatment and analysis of large amounts of data, whose size makes it impossible to treat them with databases and conventional analytical tools. The proliferation of web pages, applications, image and video, social networks, mobile devices, apps, sensors and other modern devices capable of generating huge amounts of data have necessitated the development of Big Data Tools for analysis. We talk about an absolutely relevant environment for many aspects, from the analysis of phenomena, such as climate or seismographic data, to environments such as health, safety, or, of course, the business field. As for Big Data Tools, there is a growing development. Oracle uses Exadata for these purposes, SAS uses Visual Analytics and open-source Hadoop, a framework that is highly popular in this field that enables applications to work with huge repositories of data and thousands of nodes, inspired by Google tools like MapReduce and Google File System, or NoSQL, non-relational database systems needed to hold and process the enormous complexity of all data generated highlights, and in many cases do not follow the logic of the ACID (atomicity, consistency, isolation, durability) guarantees characteristic of conventional databases. This book delves into the treatment of the techniques of BIG DATA with SAS VISUAL ANALYTICS application
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