{"title":"A Study of Big Data and Classification of NoSQL Databases","authors":"Jeelani Ahmed, Muqeem Ahmed","doi":"10.1109/TEMSMET51618.2020.9557566","DOIUrl":null,"url":null,"abstract":"Today, Big Data is the main topic of discussion everywhere due to its huge popularity as its getting generated in a huge volume in every second. It is getting huge consideration and gratitude because of its wide research area and application scenarios. Large scale, bulky, quick changes, huge growth in data is generally stated as Big Data. Data that is obtained from a wide variety of sources are usually in a format of structured, unstructured or semi-structured data. Many times big data is collected from multiple application sources, so there is a presence of structural heterogeneity. This problem of structural heterogeneity is one of the major challenges for researchers around the world and can be overcome using big data Integration. As big data refers to the data in large volumes, available in different formats and generated at extraordinary speed so to capture, process and analyze this kind of data becomes difficult using traditional data processing tools. These difficulties can be overcome using big data management tools and techniques. Big Data Integration and Management are very crucial, revolutionizing the industries and has many applications in all sectors of human life. This paper discusses brief information about big data, its history, integration issues, and available management methods and tools.","PeriodicalId":342852,"journal":{"name":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEMSMET51618.2020.9557566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Today, Big Data is the main topic of discussion everywhere due to its huge popularity as its getting generated in a huge volume in every second. It is getting huge consideration and gratitude because of its wide research area and application scenarios. Large scale, bulky, quick changes, huge growth in data is generally stated as Big Data. Data that is obtained from a wide variety of sources are usually in a format of structured, unstructured or semi-structured data. Many times big data is collected from multiple application sources, so there is a presence of structural heterogeneity. This problem of structural heterogeneity is one of the major challenges for researchers around the world and can be overcome using big data Integration. As big data refers to the data in large volumes, available in different formats and generated at extraordinary speed so to capture, process and analyze this kind of data becomes difficult using traditional data processing tools. These difficulties can be overcome using big data management tools and techniques. Big Data Integration and Management are very crucial, revolutionizing the industries and has many applications in all sectors of human life. This paper discusses brief information about big data, its history, integration issues, and available management methods and tools.