When we look back at the technological progress of the past few decades, cloud computing and big data are undoubtedly milestones in the history of modern technological development. They have not only changed our way of life, but also have had a profound impact on all walks of life.
In this digital era, cloud computing and big data technology have become key engines driving global development, inspiring a series of exciting technological innovations that are shaping the future of our humanity. This book is an excellent introductory guide for readers to gain an in-depth understanding of these two fields, whether you are a teacher, student, or practitioner engaged in computer science, information technology, or just an enthusiast who is curious about new technologies. .
Cloud computing, this seemingly abstract concept, has been integrated into our daily lives. We access cloud data through various devices and applications and enjoy ubiquitous convenience. At the same time, cloud computing is not just a technology, it is also changing the business model of enterprises and the way organizations operate...
"Uncovering Cloud Computing and Big Data" deeply explores the essence of cloud computing and introduces how it brings revolutionary changes to the processing of massive data through a series of key technologies.
Big data is another fascinating field. We live in an era of information explosion, with massive amounts of data being generated every second. However, if valuable information cannot be extracted from this massive amount of data, then the data will be just a bunch of useless digital "junk". The emergence of big data technology allows us to capture meaningful information from the ocean of data and use it to make more informed decisions. In "Uncovering Cloud Computing and Big Data", we will take a look at the principles behind big data and explore how it brings amazing value to enterprises and scientific research fields through data mining, machine learning, artificial intelligence and other means.
"Uncovering the Secrets of Cloud Computing and Big Data" is produced by the Yingtu team and written by Professor Sun Yuxi. Professor Sun Yuxi is an internationally renowned HPC high-performance computing and storage system expert, big data expert, and database expert. In this book, he uses simple writing methods and easy-to-understand language expressions to simplify complex technical concepts, allowing readers to easily understand the essence of cloud computing and big data, and clarify the technical context of cloud computing and big data. At the same time, there are many practical cases and industry trends in this book, which can help readers integrate theory into practice and gain an in-depth understanding of the huge value of cloud computing and big data technology in real life.
Not only that, "Uncovering Cloud Computing and Big Data" also uses a lot of pen and ink to analyze the current status, pain points, and thinking of the industry, and also looks forward to the development direction of cloud computing and big data technology, which not only enables readers to maintain a keen insight into technological development At the same time, it can also guide readers to think deeply about technological prospects, allowing readers to always maintain cutting-edge awareness in the wave of science and technology.
1. Introduction to the author
· Ultipa Team
An international technology R&D and promotion team dedicated to building the world's faster, more intuitive, and easier-to-use next-generation real-time graph database. The independently developed Ultipa Graph XAI System is a set of ultra-high-performance native graph database and real-time graph computing engine. The product tool chain includes Ultipa Deployer, Ultipa Cloud, Ultipa CLI, Ultipa Manager, Ultipa Maker, Ultipa Transporter, Ultipa graph algorithm collection, Ultipa Drivers and the internationally leading graph query language - UQL, which greatly supports existing AI, ML and LLM. The model architecture plays a vital role in model efficiency, acceleration, improvement of prediction accuracy and interpretability. It is the world's first real-time graph-enhanced intelligent computing engine with underlying deep computing power. It is a graph database (graph computing). ) technology is applicable to a wider range of big data real-time analysis scenarios, bringing unlimited possibilities.
The team currently has more than 50 projects including high-density parallel graph computing, super node processing, high-performance query language and semi-structured graph data processing, massive data import, devices, equipment and storage media, database deep path search, dynamic graph pruning and filtering, etc. It has 100% self-developed technical achievements and patents and owns all underlying structures. Its research and development results have successfully served many large central enterprises, state-owned enterprises and Fortune 500 companies.
Team members Sun Yuxi and Liu Siyan graduated from world-renowned universities such as Harvard Business School and Tsinghua University, and have rich experience in entrepreneurship and technical engineering at home and abroad.
·Ricky Sun
Internationally renowned high-performance computing and storage system expert, big data expert, database expert and scholar, founder and CEO of Ultipa. He used to be the CTO of EMC Asia Pacific R&D Group and the dean of the China Research Institute, a visiting professor at Harbin Institute of Technology, and a member of the Cloud Computing Expert Committee of the China Electronics Society; he holds more than 50 Chinese and American patents; he is a connoisseur and collector of cultural relics. Director of the Asian Art Appreciation Committee of the Harvard University Art Museum; technical writer, author of "Graph Database Principles, Architecture and Applications", "Programmer's Survival Manual", "Software-Defined Data Center" and "Big Data Analysis" (The Essential Criteria of Graph Database) ( The 99 Points of Launching High-Tech Business) and many other Chinese and English best-selling technology books.
2. Content summary
This book uses popular language to introduce relevant knowledge and technologies in detail in five parts, which can help readers quickly master the knowledge, principles, architecture and practical skills of cloud computing and big data. The contents of this book include demystifying cloud computing, demystifying big data, analysis of cloud computing and big data architecture, advancement of cloud computing and big data, big data applications and cloud platform practice. A large number of theories and practices in the book come from the writing team's scientific research results and practical experience in the fields of cloud computing and big data. These experiences integrate theory and practical application very well.
This book is suitable for readers with zero basic knowledge. It can also be used as a teaching material for big data and cloud computing-related courses in colleges and universities, and as a reference book for professionals engaged in big data and cloud computing technology-related work.
3. Readership target
Decision makers, developers and users of cloud computing and big data related projects and products
Enthusiasts of cloud computing and big data technology
4. Directory
