Principle of big data

下面为大家整理一篇优秀的essay代写范文- Principle of big data，供大家参考学习，这篇论文讨论了大数据的原理。大数据最早在1980年由美国著名学家阿尔文·托夫勒首次提出。经由长时间的发展最终在2001年由美国格特纳公司首次对大数据的明确与特征给出了明确的详细的定义，并且格特纳反复强调大数据必须要具备3V特征，即多样化、速度快以及容量大等特点。大数据的整理主要包括对数据进行预处理。对于大数据的实际数据分析过程中的主要技术包括对已有数据进行分布式统计以及对未知数据进行深度学习技术和分布式挖掘技术等。分布式的统计分析主要是通过数据处理技术来完成的。

Since its birth, big data has played a very important role in many aspects, and people pay more and more attention to big data nowadays. However, the term big data is often mentioned, but few people really know the real meaning. People are more familiar with the term big data, but have little understanding of the real meaning.

Big data was first proposed by famous American scientist alvin toffler in 1980. In 2001, after a long period of development, American gertner company gave a clear and detailed definition of the characteristics of big data for the first time, and gertner repeatedly stressed that big data must have the characteristics of 3V, such as diversification, fast speed and large capacity.

Data collection is actually to achieve the call stream data on the log through the front-end embedding point and the use of interface log, as well as the capture of data in the database, and to collect the data uploaded by the customer, and then save the data through various dimensions. In addition, big data can also be processed by simple automation, such as converting IP into addresses and automatically filtering dirty data and useless data.

In terms of data collection, data basically has the following several ways: first is the number of data collection way, the way the practical work of significance is that every time to data snapshot of the database, and big data can according to different needs, to back up the database snapshot, set up the data source and how to design error, etc. The second is the offline batch processing mode, which has the advantages of fast and fully managed, and can set the execution time and conditions of the implementation task. Finally, real-time processing is more convenient for big data collection. Just start storm and big data will automatically read data sources in the database.

The collation of big data mainly includes data preprocessing. In the process of big data collection, data is usually collected from at least one data source. Since these data sources have different interfaces, they are very vulnerable to data value loss, data conflict, noise data and other problems in the actual collection process. Therefore, big data will first preprocess all kinds of data collected, so as to ensure the high accuracy of big data analysis and prediction results to a large extent.

The main technologies in the actual data analysis of big data include distributed statistics on existing data, deep learning technology on unknown data and distributed mining technology. Distributed statistical analysis is mainly completed by data processing technology. The data analysis of big data can form the description mode or rule attribute of things, and can also build machine learning model and massive analysis of training data to finally improve the accuracy of big data prediction.

51due留学教育原创版权郑重声明：原创essay代写范文源自编辑创作，未经官方许可，网站谢绝转载。对于侵权行为，未经同意的情况下，51Due有权追究法律责任。主要业务有essay代写、assignment代写、paper代写、作业代写服务。

51due为留学生提供最好的essay代写服务，亲们可以进入主页了解和获取更多essay代写范文 提供代写服务，详情可以咨询我们的客服QQ：800020041。