BIG DATA with SAS VISUAL ANALYTICS (Paperback)

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

大數據是指處理和分析大量數據的技術，這些數據的規模使得使用傳統的數據庫和分析工具變得不可能。網頁、應用程式、圖像和視頻、社交網絡、移動設備、應用程式、傳感器和其他現代設備的普及產生了大量數據，這就需要開發大數據工具進行分析。這是一個非常重要的環境，涉及到許多方面，從氣候或地震數據的分析，到健康、安全，當然還有商業領域。至於大數據工具，目前有不斷發展。Oracle使用Exadata，SAS使用Visual Analytics，而開源的Hadoop則是一個非常受歡迎的框架，可以讓應用程式處理大量數據和數千個節點，它受到Google的MapReduce和Google File System等工具的啟發。此外，還有NoSQL，這是非關聯數據庫系統，用於存儲和處理生成的大量複雜數據，並且在許多情況下不遵循傳統數據庫的ACID（原子性、一致性、隔離性、持久性）保證邏輯。本書深入探討了使用SAS Visual Analytics應用程式進行大數據技術的處理。