{"title":"数据科学:与大数据、数据驱动预测和机器学习的关系","authors":"Akansha Singh, Nidhi Saxena","doi":"10.1109/ComPE53109.2021.9752435","DOIUrl":null,"url":null,"abstract":"We are living in the age of big data, advanced analytics, and data science. Companies these days have realized the importance of data management and therefore are recruiting staff as data scientists and academics institutions and publications have accepted data science as one the trending career options. The current era of IT industry is evolving very rapidly. With the growing requirement of IT sector the demand of each sub-unit is also developing with huge pace. Introduction of distributed computing had resolved the issues of the industry but now analyzing the growth pace the requirements will be drastically challenging for the industry, organisations as well as society. If we want this science to serve and promote business effectively, it is important for us (i) to recognize its associations to other important technologies and concepts, and (ii) to initiate the classify the fundamental ideologies underlying data science. This paper has a systematic overview on data science, its application and its interactions to other important related perceptions. The combination of data science and distributed computing can resolve many issues of the industry.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Science: Relationship with big data, data driven predictions and machine learning\",\"authors\":\"Akansha Singh, Nidhi Saxena\",\"doi\":\"10.1109/ComPE53109.2021.9752435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are living in the age of big data, advanced analytics, and data science. Companies these days have realized the importance of data management and therefore are recruiting staff as data scientists and academics institutions and publications have accepted data science as one the trending career options. The current era of IT industry is evolving very rapidly. With the growing requirement of IT sector the demand of each sub-unit is also developing with huge pace. Introduction of distributed computing had resolved the issues of the industry but now analyzing the growth pace the requirements will be drastically challenging for the industry, organisations as well as society. If we want this science to serve and promote business effectively, it is important for us (i) to recognize its associations to other important technologies and concepts, and (ii) to initiate the classify the fundamental ideologies underlying data science. This paper has a systematic overview on data science, its application and its interactions to other important related perceptions. The combination of data science and distributed computing can resolve many issues of the industry.\",\"PeriodicalId\":211704,\"journal\":{\"name\":\"2021 International Conference on Computational Performance Evaluation (ComPE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computational Performance Evaluation (ComPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComPE53109.2021.9752435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE53109.2021.9752435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Science: Relationship with big data, data driven predictions and machine learning
We are living in the age of big data, advanced analytics, and data science. Companies these days have realized the importance of data management and therefore are recruiting staff as data scientists and academics institutions and publications have accepted data science as one the trending career options. The current era of IT industry is evolving very rapidly. With the growing requirement of IT sector the demand of each sub-unit is also developing with huge pace. Introduction of distributed computing had resolved the issues of the industry but now analyzing the growth pace the requirements will be drastically challenging for the industry, organisations as well as society. If we want this science to serve and promote business effectively, it is important for us (i) to recognize its associations to other important technologies and concepts, and (ii) to initiate the classify the fundamental ideologies underlying data science. This paper has a systematic overview on data science, its application and its interactions to other important related perceptions. The combination of data science and distributed computing can resolve many issues of the industry.