摘要
随着大数据技术的不断发展和进步,电商企业如雨后春笋般涌出来,电商经营的范围越来越广,在运行过程中需要处理的数据类型也越来越多样化,主要包括一下几种:图片类数据、视频、音频等类型,这些复杂多样的数据类型需要更加细致具体的处理方法。同时,还要根据这些数据的自身特点,结合实际情况进行灵活处理,才能更好为下面的系统运行提供必要的支撑依据。但从目前来看,现在提供的数据比较单一,存在一种数字"烟囱"的现象,数据的自身优势得不到有效发挥,可能在一定程度上会影响企业数据的整体性。本文主要在大数据技术发展的基础上,对多样化的数据进行深入的加工、处理、整合,从而进一步为广大用户提供高效的用电服务。
With the continuous development of big data technology and progress, such as commercial enterprises like bamboo shoots after a spring rain pouring out, more and more wide range of business operation, in the operation process to deal with the data types are more and more diversified, including several types of data:pictures, video, audio and other types of these complex data types need to be more careful the concrete treatment method. At the same time, according to the characteristics of these data and combined with the actual situation of flexible processing, provide the necessary support for the following system operation. But from the current point of view, now the data is relatively simple, there is a digital "chimney" phenomenon, the advantages of data is not effectively play, may affect the integrity of the enterprise data in a certain extent. This paper analyses the diversification of data processing, processing, integration based on the devel- opment of big data technology, so as to further provide efficient electricity services for the majority of users.
出处
《自动化与仪器仪表》
2017年第12期137-138,共2页
Automation & Instrumentation
关键词
配网
数据挖掘
优化
停电管理
distribution network
data mining
optimization
power outage management