7 pieces of data related to data construction have been sorted out, including data warehouse, data center, data warehouse, etc. Private messages in need: " Meituan " to receive
1. Meituan data platform and data warehouse construction practice.PDF download
The quality of the blog of the Meituan technical team is very high, and there are many articles about big data, which have great reference value. But the blog function is rudimentary and there is no basic search function, which is very difficult for us to find relevant articles.
So I sorted out the articles about big data on the blog of the Meituan technical team, and the articles of very high quality were classified into offline data warehouses, real-time data warehouses, data platforms, data governance, data analysis, etc., and composed a book. High-quality "Meituan Data Platform and Data Warehouse Construction Practice" super full document!
The organized document structure is very clear, and the layout is very concise, which is very helpful for us to find and read. The document has a total of 290 pages and more than 100,000 words. It is completely a big data book, and the quality is higher than most books (because this is a collection of articles by dozens of big data technical experts in Meituan).
This is to truly apply the practical experience, development specifications, etc. to our actual work. There are no obscure concepts in it. They all start from solving actual needs and use various big data technologies to complete the needs. With the goal of improving efficiency, a set of very standard and perfect development experience was finally summed up.
This document is worth reading several times by each of us data people, and making the experience within it our own.
2. [Tencent Research Institute] Digital Transformation Index Report 2021.PDF Download
This report builds a digital transformation indicator system from the three levels of application, platform and infrastructure, and provides comprehensive insights and assessments on the digital transformation of 351 cities and 18 major industries across the country.
The report shows that Guangdong, Shanghai and Beijing are the top three provinces and cities in the national digital transformation index. Henan, Hubei, and Hunan all ranked among the top ten in the country in terms of scale and growth rate, becoming "double strong" provinces. In the industry, industries such as e-commerce and finance are clearly leading in digitalization, which is more than three times the industry average. In the past year, the digital transformation of traditional industries has shown rapid growth.
3. Innovative Practice of Data Governance and Data Assetization-JD.PDF Download
In this report, Mr. Zhang Xu, general manager of JD's Big Data Department, took us to understand the current situation and future trends of the big data industry market development. And introduced to us the challenges of data governance and assetization, the current problems and so on.
In this report, we can also gain relevant experience through JD.com's data governance and data assetization results display, and can reflect on this and summarize what we need to do and how to do it in our current situation.
4. 2021 China Data Center Market Research Report.PDF Download
This report mainly introduces the following aspects:
- Digital map from a city perspective
- Case Study of Urban Digital Transformation Approach
- Digital Maps from an Industry Perspective
- Examples of industry digital transformation approaches
5. [Alibaba Cloud Research Institute] Data Center Delivery Standardization White Paper (2022). PDF download
Data is an important factor of production in digital construction, but to transform data into forward-looking insights and differentiated assets, companies need to carry out "data reconstruction" actions, sort out data assets, and establish a strong data strategy and effective Data Governance Mechanisms.
The construction of a data center is the only way for enterprises to achieve digital and intelligent transformation. Enterprises with transformation needs should take this step as soon as possible to break inertia and firmly promote self-driven changes under the guidance of data.
6. Thoughts on digital transformation of small and medium-sized manufacturing industries.PDF download
This report is mainly about some thoughts on the digital transformation of small and medium-sized manufacturing industries put forward by Yan Qiang (Deputy Secretary-General of the AI Big Data Special Committee of Tsinghua Alumni), hoping to be helpful to everyone.
7. China's data governance industry in 2021: combing the whole chain industry map. PDF download
With the development of enterprise information systems, the management and governance of data has become more complex, including not only the intranet of the enterprise, but also the extranet of the external environment data of the enterprise; data should not only support the operation and management of the enterprise, but also start Provide help for enterprises to understand and make decisions about the environment.
The concept of data governance emerged as the times require. In a broad sense, data governance includes data management and “realization” of data value, including a collection of data management activities such as data architecture, master data, data indicators, time series data, data quality, and data security.
Head Leopard Research Institute defines data governance as: in a data-driven business and production environment, around data standards and data models with higher availability, planning and building a complete set of institutional systems of "collection, storage, management, and service" System engineering .
