Big Data: Theory & Practices

"Big Data: Theory & Practices" is a comprehensive textbook that addresses the fundamentals and applications of Big Data. It provides a detailed introduction to the techniques for creating, maintaining, and scaling reliable, distributed systems necessary for processing large volumes of data. The book also covers the concepts of NoSQL databases and MapReduce programming, which are central to the analysis and processing of Big Data. Additionally, the programming language R is introduced, which is commonly used for statistical analysis and graphical representations. This book is aimed at students in technical fields and can be used both as a textbook and a reference work. However, it should be noted that beginners may find it challenging to understand the complex topics, so a disciplined approach to reading is recommended.