This book is application-oriented and practical-oriented as its guiding ideology, closely follows the characteristics of enterprise technical talent training, avoids complex theories in the explanation of knowledge points and experiments, so that readers can quickly experience and verify the charm of big data processing, and stimulate readers' interest in learning. This book covers the main technical points in the life cycle of big data. The book has 8 chapters in total. Chapter 1 introduces the generation and characteristics of big data and the changes in thinking. Chapter 2 understands the big data ecosystem. Chapters 3 to 7 respectively discuss the basic principles and methods of big data collection and preprocessing, big data management, big data analysis, big data visualization, and big data application according to the life cycle of big data. Chapter 8 discusses the challenges faced by big data security. This book can be used as a reference book or teaching material for big data technology or data science courses in undergraduate and higher vocational colleges, and can also be read by technical personnel related to data science.
Reader comments
And the content is very practical, especially the analysis of big data-related job requirements, which resonates with me. I think this book is not only suitable for students to read, but also for people who want to understand big data. It is not as obscure as other similar books, but focuses on guiding thinking and methods to make it easier for people to understand and apply big data technology. I believe that by reading this book, readers can better grasp the opportunities in the big data era.
And the content is very practical, especially the analysis of big data-related job requirements, which resonates with me. I think this book is not only suitable for students to read, but also for people who want to understand big data. It is not as obscure as other similar books, but focuses on guiding thinking and methods to make it easier for people to understand and apply big data technology. I believe that by reading this book, readers can better grasp the opportunities in the big data era.