Table of contents
Pain points in data center construction
Data middle platform learning materials
Focus on cutting-edge and update methodology system
Advance with the times and keep up with the hot topics of the times
Go deep into 6 major industries and extract the essence of practice
Recommended by experts, a must-have desk book for digital transformation
Preface
Driven by the national strategy of Digital China, the research and implementation of data elements and digital transformation are in full swing. However, McKinsey data shows that up to 80% of companies fail to find appropriate methods during the digital transformation process, resulting in transformation failure.
Why build a data center
Data middle platform is the key infrastructure for enterprises to carry out data element-related practices and digital transformation. Having an efficient data middle platform is something that no enterprise can ignore. Through data middle platform, enterprises can build their own data base and let data It circulates and forms a closed loop to continuously empower business innovation. While stimulating its hidden or underestimated potential, it accelerates the digital transformation of enterprises and reconstructs digital combat effectiveness.
The digital transformation of Chinese enterprises is developing rapidly. The government has been promoting digital transformation. Digital transformation is regarded as an important means to improve the competitiveness of the manufacturing and service industries.
Under the strategy of "data-driven, digital transformation", enterprises are encouraged to strengthen data management and utilization to promote high-quality economic development. The construction of data middle platform is an important part of the digital transformation of Chinese enterprises, and more and more enterprises are beginning to pay attention to the construction of data middle platform. But at present, my country's data middle platform construction is still mainly concentrated in large enterprises and Internet companies, while the data middle platform construction of small and medium-sized enterprises is relatively lagging behind. The reason behind this is that there are still many pain points that need to be resolved in the construction of data middle platforms:
Pain points in data center construction
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First, there is the risk of data leakage and abuse, and governments and enterprises need to pay more attention to data security and privacy protection;
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Second, due to the diversity of data sources and the uncertainty of data quality, companies need to pay more attention to the accuracy and reliability of data, that is, data quality issues;
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Third, data formats and standards are inconsistent between different enterprises and between different departments of the same enterprise, making data sharing and collaboration difficult;
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Fourth, as the scale of data continues to increase and the types of data continue to increase, enterprises need to pay more attention to data governance and management to ensure the sustainable development and value enhancement of data.
Data middle platform learning materials
As the country's first data center "methodology" that can be used as a reference and implemented, "Data Center: Making Data Use" has received widespread attention from the entire industry since the first edition was released in 2020. It has been printed a total of 16 times and sold more than 100,000 copies.
Written by Xu Shaochun, founder of Kingdee International Software Group, and recommended by Zhou Aoying, vice president of East China Normal University and professor of data science and engineering, etc., "Data Middle Platform: Making Data Work 2nd Edition is now available.
By combining theory, cases and thinking, the second edition injects a large amount of experience and thinking accumulated by Shulan experts in the construction of enterprise data infrastructure for many years. With the help of a large number of specific cases, from a strategic perspective, it provides the latest ideas and practical paradigms for digital decision-makers, practitioners and practitioners who are planning and building data middle platforms. This is a rare book that provides a knowledge system reference for all parties involved in the construction of enterprise data middle platforms. Based on the old version, the second edition has added and updated more than 60% of the content:
Focus on cutting-edge and update methodology system
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Revise and add comparison content between data middle platform, data lake, and data weaving in Chapter 1 to help readers more clearly understand the advantages, disadvantages, and applicable scenarios of different data management solutions;
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In Chapter 3, "7 Success Factors for the Construction of a Data Middle Platform" have been revised and added to ensure the successful implementation of the construction of a middle platform.
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Chapter 4 keeps up with the cutting edge, updating and adding emerging technical concepts such as "data manual filling", "FlinkCDC", "synchronization mode", and "data lake".
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Chapter 5 is updated around data development and adds content such as "flow-batch integration" and "real-time data warehouse" to ensure that enterprises can grasp the direction of the most advanced productivity and release the value of data when building an efficient and agile data center.
Advance with the times and keep up with the hot topics of the times
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In line with the current increased emphasis on national data asset management, Chapter 9 has updated and added the relevant content of the data asset operation report to help enterprises drive business growth through effective operation of data assets.
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Chapter 10 pays attention to the increasingly severe data security issues, and adds a new analysis of data security protection technology trends, aiming to point out the direction for enterprises in terms of compliance and security.
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In addition, in response to the issue of how to implement data middle-end projects that many readers are concerned about, Chapter 11 is added to the second edition, which will introduce in detail how to carry out data middle-end projects through the six links from project initiation to online guarantee, and explain each The roles involved in the link, their division of labor, outputs, etc.
Go deep into 6 major industries and extract the essence of practice
In view of the huge differences in the characteristics and application scenarios of different industries, "Data Middle Platform: Making Data Use, 2nd Edition" further strengthens the principle of combining theory and practice, and provides an in-depth analysis of six government affairs, manufacturing, automobiles, real estate, retail, and medicine. A classic case from a large industry. These case studies are detailed and representative. They not only demonstrate how the data center empowers business innovation and efficiency improvement in various industries, but also provide readers with valuable experience that can be used for reference, helping enterprises to find solutions in their respective digitalization processes. Accurate positioning and develop a more targeted data strategy.
Recommended by experts, a must-have desk book for digital transformation
The book "Data Center: Making Data Use, 2nd Edition" is highly regarded by big names in academia and business circles for its in-depth professional knowledge, rich and detailed practical cases, and forward-looking perspective that closely follows the hot topics of the times. Praise and unanimous recommendation. Scroll up and down to see 10 consecutive positive reviews from the big guys~
Xu Shaochun, founder of Kingdee International Software Group:
Shulan Technology’s mission of “making data useful” is supported by solid data technology and rich project experience. I believe that this book will continue to bring inspiration and gain to the readers and enterprises, allowing more enterprises to truly understand and master the core concepts and technologies of the data center, and allow leading digital technology practices to be continuously implemented within enterprises, thereby exerting their full potential. The real value and role of the data center is to realize "digital governance of enterprises and the driving force for strengthening the country."
Zhou Aoying, Vice President of East China Normal University/Professor of Data Science and Engineering:
Shulan Technology's slogan "Let data be used" well reflects the essence of the concept of "data middle platform". I believe that the purpose of data center is to connect data, just like building a power grid. Making data easy to use means making data technology fool-proof, allowing all business personnel to use data easily and unleash the power of data.
Zhu Zhu, Vice President of Digital China Group:
The second edition has fine-tuned and improved the original methodology system, placing more emphasis on how the data center can exert business value and solve business problems. As a close partner of Shulan Technology, I highly recognize its professional capabilities and experience in the field of data middle office. I believe this book will bring you more inspiration and help you better use data middle office to promote your enterprise. of digital transformation.
Wang Changsheng, Chairman of International Data Management Association (DAMA) China:
Whether you are a novice who has just started to explore the field of data middle platform or a professional who encounters confusion in practice, this book will provide you with practical and in-depth knowledge to help you utilize data middle platform in application scenarios in different industries. Achieve higher productivity and provide better decision support.
Chen Xinhe, deputy secretary-general of Zhongguancun Big Data Industry Alliance/author of "Winning in Big Data Series":
If the first edition of this book is version 1.0 of data center from theory to practice, and is a beacon to guide pioneering enterprises in digital transformation, then the second edition of this book will become the North Star of enterprise digital transformation, using more scientific methodologies and More diverse and real industry practice cases will guide more industries and enterprises on the road to successful digital transformation.
Shi Kai, founder of Lean Data Methodology/author of "Lean Data Methodology: Data-driven Digital Transformation":
Whether and how to build a data center has been a focus of debate in the industry in the past two years. Instead of getting into endless debates, it’s better to look at what other people’s data centers do. Every enterprise is unique, and the value and construction path of the data center must conform to the characteristics of the enterprise. This book contains a series of real-life case records that can be used as a reference.
Qian Jun, chief scientist of Puyuan Information Technology Co., Ltd.:
In the past, people's use of data was limited by individual cognitive and computing capabilities. Cloud computing and big data break through this limitation. The times are calling. Based on high-quality data, let the data be used; use data for analysis and use data for artificial intelligence. If the above is the goal, then this book is a good attempt to activate the vitality of data, try to make data come alive, and try to find the way to data. Focus on usage, ask questions, find scenarios, manage clearly, and deliver.
Digitalization is both a change and an opportunity, and everyone needs to actively embrace change. I believe that this book will continue to bring inspiration and gain to readers and enterprises, allowing more enterprises to truly understand and master the core concepts and technologies of data middle platforms, and allow leading digital technology practices to be continuously implemented within enterprises, thereby unleashing the power of data. The real value and role of China and Taiwan is to realize " digital governance of enterprises and the driving force for strengthening the country ."
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