I don’t know when you heard this word about big data, but big data still has great help and effect on some of the devices used in our daily lives. Let’s take a look at some of the technical composition of big data.
1, big data acquisition technology
Big data acquisition technology focuses on intelligent identification, perception, adaptation, transmission, access and other technologies for big data sources. Basic support layer: Provides virtual servers required for big data service platforms, databases for structured, semi-structured and unstructured data, and Internet of Things network resources and other basic support environments.
focuses on the distributed virtual storage technology, visual interface technology for big data acquisition, storage, organization, analysis and decision-making operations, network transmission and compression technology for big data, big data privacy protection technology, etc.
2. The new database cluster based on the MPP architecture
adopts the Shared Nothing architecture, combined with the efficient distributed computing model of the MPP architecture, and through a number of big data processing technologies such as column storage and coarse-grained indexing, it focuses on the data storage methods developed by industry big data. It has the characteristics of low cost, high performance, and high scalability, and has a wide range of applications in the field of enterprise analysis applications.
has significant advantages over traditional databases, its PB-level data analysis capabilities based on MPP products. Naturally, MPP database has also become the best choice for the new generation of enterprise data warehouses.
3, bundled search (also known as directed search, Beam Search)
best priority search algorithm optimization. Use a heuristic function to evaluate the ability of each node it checks. However, cluster search can only find the front m most qualified nodes in each depth, m is a fixed number - the width of the cluster. Have you understood all these
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