摘要
随着大数据、云计算的到来,各种业务也开始依赖大数据,包括各互联网公司也对数据有了前所未有的重视,目前的数据处理系统主要包括批处理系统和实时处理系统,而且这些业务越来越要求实时性,客户使用云服务可以避免复杂的系统设计和设备的多次购买费用。本文主要分析了当前的计算框架,以此构建基于云服务的大数据分析系统,使其具有良好的扩展性、兼容性及大数据处理引擎的自适应性选择。
With the advent of big data and cloud computing,all sorts of business also started relying on big data,including the Internet companies also paying unprecedented attention to the data. The current data processing system mainly includes the batch processing system and real-time processing system,and the real-time business is more and more required.Customers,with the use of cloud services,can avoid complex system design and equipment purchase cost for many times.This article mainly analyzes the current computing framework to build large data analysis system based on cloud service,making it has good scalability,compatibility and big data processing engine adaptive selection.
出处
《河南科技》
2015年第1X期20-22,共3页
Henan Science and Technology
关键词
大数据
云计算
实时计算
批处理
流计算
自适应性
big data
cloud computing
real-time computing
batch processing
stream computing
adaptability
