Data Analysis and Parallel Database Construction of Cloud Platform
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DOI: 10.23977/meimie.2019.43016
Corresponding Author
Yan Wei
ABSTRACT
With the arrival of the era of big data, people have higher and higher requirements for data processing. Clustering analysis is the key to data processing, which can facilitate people to describe and understand data objects, and collect the intrinsic information of large data hidden in cloud platforms. It is urgent to study a reasonable parallel clustering method for large data in cloud platforms. The Internet has taken root in people's lives and spread to every corner. The development of scientific research informationization makes people deal with things more and more conveniently and synchronization more and more timely. However, the emergence of new things will always bring new problems and usher in a new pattern. When we use the Internet for information transmission and interaction and it will produce a lot of data information. However, with the rapid growth of data storage and transmission, the existing traditional computer mechanisms and technologies can no longer meet the current computing needs, which prompt people to seek new technologies to process and analyze large amounts of data and extract potential information and value from data.
KEYWORDS
Cloud Platform, Data Analysis, Parallel Database, Construction, Hadoop