Introduction to is today when data has become a factor of production. Having sufficient computing power is a prerequisite for comprehensively exploring and releasing the value of data.
Today, when data has become a factor of production, having sufficient computing power is a prerequisite for fully exploring and releasing the value of data. This book is based on Alibaba’s self-developed SaaS model cloud data warehouse MaxCompute, focusing on eight classics: search, user growth, business growth, crowd selection, real-time data processing, semi-structured data processing, large-scale data scientific analysis, and lake warehouse integration. Scenario practice enables the value of enterprise data assets to be maximized in business development.
《 SaaS Mode Cloud Native Data Warehouse Application Scenario Practice》
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Search has always been one of the core portals for traffic sources in the e-commerce industry. Although basic search services can be built based on traditional databases or open source engines, as product data increases and business traffic grows, performance and effectiveness bottlenecks will inevitably be encountered. On the other hand, with the continuous development of e-commerce, live broadcasting, cloud computing and other technologies, more and more traditional retail companies are undergoing Internet cloud transformation, especially due to the impact of factors such as the epidemic in the past two years. It has become an important source of business growth for retail companies. In this context, how to quickly build an efficient search service has become a difficult problem for the retail industry to go to the cloud and transform. In order to solve these two problems, Alibaba Cloud launched a search solution for e-commerce and retail industries based on MaxCompute and open search to realize a search development platform for product storage, library building, search, and optimization.
You can use this book to understand the classic scenarios and practice of cloud-native data warehouses, and help you better realize the business value of enterprises based on cloud data warehouses.
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