Research on Distributed Storage Technology for Big Data

Abstract

With the widespread popularity of mobile Internet and the rapid development of Internet technology, a large number of new applications have emerged in the network, and the amount of data generated by these applications has shown an amazing explosive growth, and people are deeply aware of the huge value contained in these huge data. The term "big data" is widely used in various industries." With the continuous development of emerging fields such as artificial intelligence, machine learning, and user profiling, the term "big data" has been widely used to describe the amount of data and has become an indispensable support force in these fields. Cloud storage, as an emerging data service approach, has been widely used among various business systems in recent years. With the booming development of cloud storage technology, its performance is also improving by leaps and bounds, along with the rapid progress of cloud computing technology. At present, cloud storage technologies are mainly divided into two types of distributed computing models based on virtualization platforms and centralized architectures based on file systems. The purpose of this paper is to study the application of distributed database technology in the big data environment in order to achieve its continuous optimization in the real environment, so as to better serve the daily life of human beings.