Digital asset exchange big data analysis system development

At present, the development of digital asset exchange big data analysis system is a new technology in the market, and it will become an effective means of digital asset big data acquisition, storage, processing analysis or visualization. Big data technology can dig out the hidden information and knowledge in large-scale transaction data, provide a more favorable basis for digital asset transaction investment, improve the operational efficiency of various fields, and even the intensification of the entire social economy.
The Big Data Lifecycle
shows a typical Big Data technology stack. The bottom layer is the infrastructure, covering computing resources, memory and storage, and network interconnection, which are embodied in computing nodes, clusters, cabinets, and data centers. On top of this is data storage and management, including file systems, databases, and YARN-like resource management systems. Digital asset exchange big data analysis system development
and then the computational processing layer, such as hadoop, MapReduce and Spark, and various different computing paradigms on top of this, such as batch processing, stream processing, and graph computing, etc., including derived programming models computing models, such as BSP, GAS, etc. Data analysis and visualization are based on computational processing layers. Analysis includes simple query analysis, streaming analysis, and more complex analysis (such as machine learning, graph computing, etc.). Query analysis is mostly based on table structures and relational functions, stream analysis is based on data, event streams, and simple statistical analysis, while complex analysis is based on more complex data structures and methods, such as graphs, matrices, iterative calculations, and linear algebra. Development of Big Data Analysis System for Digital Asset Exchange
Visualization in general is the display of analysis results. But with interactive visualization, you can also ask questions exploratoryly, so that the analysis can gain new clues and form an iterative analysis and visualization. Real-time interactive visual analysis based on large-scale data and the factors that introduce automation in this process are the current research hotspots. The development of the big data analysis system of the digital asset exchange
There are two fields that vertically open up the above-mentioned layers, which need to be viewed holistically and collaboratively. The first is programming and management tools. The direction is that machines can achieve automatic optimization through learning, as far as possible without programming and complex configuration. Another area is data security, which also runs through the entire technology stack. In addition to the vertical connection between these two fields, there are some technical directions that span multiple layers, such as "memory computing" which actually covers the entire technology stack.
Digital asset exchange big data analysis system development
[This article is provided by the developer Weixin ruiec2723]