You are sitting on a gold mine, which is either buried in backup and archive data or hidden in the data set in front of you. Big data is to improve the company's efficiency, expand new business relationships, and make more intuitive decisions, which will make your business go up a storey still higher. You will understand how to use big data, analyze and control big data to get rich returns.

Nowadays, big data has become an important "pawn" in the enterprise development strategy. Any organization that wants to keep up with the times must embrace big data with open arms! Big data analysis is all about turning stone into gold!

2. Big Data: Strategic Technology Practice

(1) Fully analyze the current mainstream technologies in the field of big data, and combine industry application examples with the unique insights of front-line R&D personnel.

(2) Exquisitely configured color insertion perfectly demonstrates the power of big data from multiple angles.

(3) Well-known experts in academic circles and business leaders jointly make a preface recommendation.

3. Spatial big data information infrastructure

Big data computing refers to the scale of P (1015)-E (1018)-Z (1021).

Ultra-large scale data processing based on. It also refers to the extremely large-scale data calculation that traditional file systems, relational databases, parallel processing and other technologies cannot effectively handle. Big data computing is a new generation of data processing technology with the development of grid computing and cloud computing. With the gradual advancement of national spatial information infrastructure, it is urgent to research and develop a new generation of spatial information infrastructure technology. Big data is the most typical feature of spatial information. Combining the latest development of big data computing and the development of national spatial information infrastructure, this book systematically discusses a series of technologies and architectures related to the new generation of spatial big data processing.

4. Big data: great value, great opportunities and great changes.

Whether you like it or not, we make and share big data every day; Whether you care or not, we have been living in the encirclement of big data. Big data, a word that suddenly became popular in 20 12, should be interpreted? This book introduces the background, characteristics and development trend of big data, discusses the impact of big data on social and business intelligence from an empirical perspective, and holds that big data is affecting the change of business model and will bring new business opportunities. Whether big data can be processed, analyzed and integrated will become the key to enhance the core competitiveness of enterprises! Big data is not only a big opportunity, but also a big change!

5. "Black Kids Application in the Cloud Age: Big Data Analysis"

Hu Shizhong's Black Boy Application in the Cloud Age (Big Data Analysis) is divided into three parts: what is big data, big business opportunities of big data, technology and foresight. The first part introduces the concept of big data analysis and the scope of application of enterprises and government departments. What is big data analysis? What does it have to do with individuals and enterprises? What impact will it have on the global industry? The second part completely introduces the application of big data in various industries, and provides the application direction for enterprises and government departments. It provides practical application cases from all over the world, covering retail, finance, government departments, energy, manufacturing, entertainment, medical care, telecommunications and other industries, fully demonstrating the benefits of big data analysis. The third part briefly introduces the technology and future development trend of big data analysis, which provides readers with the direction of application and research.

6. Big data

The widespread application of big data has completely changed the human world, and the horn of this information revolution is blowing. The book "Big Data" edited by Guo Xiaoke brings together the latest research results on "Big Data" around the world, clearly outlines a broad picture for readers that "Big Data" is widely used in various fields of society, and prospectively depicts the future big data world.

7. Historical opportunities in the era of big data: industrial change and data science.

Big data is subverting the way people explore the world and driving the integration and separation between industries at an unprecedented speed. "Historical Opportunities in the Age of Big Data: Industrial Transformation and Data Science" comprehensively expounds the impact of big data on society, economy and scientific research. Big data may help you clarify some cognitive misunderstandings and help big data take root in all walks of life.

Big data is "the ability to quickly obtain information in diverse or large amounts of data".

Big data is a way of thinking and must be integrated into every capillary of the enterprise. The era of big data has arrived and is triggering a revolution!

Big data is subverting the way people explore the world at an unprecedented speed, causing profound changes in social, economic, academic, scientific research, national defense and military fields. Big data becomes an asset, vertical industry integration and pan-internetization are the three major development trends in the era of big data. Big data assets have become a key production factor that keeps pace with land, capital and manpower. Around big data assets, we can interpret the ups and downs of industrial dramas.

8. Travel with big data

This is a short and pithy book. Readers don't need to spend too much time to figure out what big data is, and they can also help readers understand the ins and outs of big data and the impact and role it will bring to all walks of life in the future. Big data will bring a new wave of scientific and technological revolution, and promote management change, it technology change and business change, ecological chain change and analysis change.

9. Large-scale data mining and distributed processing on the big data Internet.

"Big Data: Internet Large-scale Data Mining and Distributed Processing" originated from the textbook "Web Mining" taught by the author at Stanford University for many years, focusing on the practical algorithms of data mining in the big data environment. This book analyzes the commonly used algorithms for data mining of massive data sets, and introduces many important topics of current Web applications.

10, the impact of big data

This book is the best-selling application guide of big data business in Japan. Based on the survey data exclusively disclosed by Nomura Research Institute, the book collects the application cases of benchmarking companies and governments in the United States and Japan, summarizes the business model of big data and the privacy issues that should be paid attention to in the application of big data, and makes in-depth discussions on how to prepare for the era of big data, and puts forward many useful suggestions.

Only those data-driven enterprises that can find the value of data neglected by others as soon as possible and reflect it in their own business in time to establish a competitive advantage can survive in today's era full of diverse data.