Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-3444-1.ch001
Dinesh Chander, Hari Singh, Abhinav Gupta
Data processing has become an important field in today's big data-dominated world. The data has been generating at a tremendous pace from different sources. There has been a change in the nature of data from batch-data to streaming-data, and consequently, data processing methodologies have also changed. Traditional SQL is no longer capable of dealing with this big data. This chapter describes the nature of data and various tools, techniques, and technologies to handle this big data. The chapter also describes the need of shifting big data on to cloud and the challenges in big data processing in the cloud, the migration from data processing to data analytics, tools used in data analytics, and the issues and challenges in data processing and analytics. Then the chapter touches an important application area of streaming data, sentiment analysis, and tries to explore it through some test case demonstrations and results.
{"title":"A Study of Big Data Processing for Sentiments Analysis","authors":"Dinesh Chander, Hari Singh, Abhinav Gupta","doi":"10.4018/978-1-7998-3444-1.ch001","DOIUrl":"https://doi.org/10.4018/978-1-7998-3444-1.ch001","url":null,"abstract":"Data processing has become an important field in today's big data-dominated world. The data has been generating at a tremendous pace from different sources. There has been a change in the nature of data from batch-data to streaming-data, and consequently, data processing methodologies have also changed. Traditional SQL is no longer capable of dealing with this big data. This chapter describes the nature of data and various tools, techniques, and technologies to handle this big data. The chapter also describes the need of shifting big data on to cloud and the challenges in big data processing in the cloud, the migration from data processing to data analytics, tools used in data analytics, and the issues and challenges in data processing and analytics. Then the chapter touches an important application area of streaming data, sentiment analysis, and tries to explore it through some test case demonstrations and results.","PeriodicalId":306168,"journal":{"name":"Large-Scale Data Streaming, Processing, and Blockchain Security","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114499750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-3444-1.ch009
H. Saini, Geetanjali Rathee, D. Saini
In this chapter, the authors have detailed the need of blockchain technology along with its case studies in different domains. The literature survey is described that describes how blockchain technology is rising. Further, a number of domains where blockchain technology can be applied along with its case studies have been discussed. In addition, the authors have considered the various use cases with their recent issues and how these issues can be resolved using the blockchain technology by proposing some new ideas. A proposed security framework in certain applications using blockchain technology is presented. Finally, the chapter is concluded with future directions.
{"title":"Understanding Blockchain","authors":"H. Saini, Geetanjali Rathee, D. Saini","doi":"10.4018/978-1-7998-3444-1.ch009","DOIUrl":"https://doi.org/10.4018/978-1-7998-3444-1.ch009","url":null,"abstract":"In this chapter, the authors have detailed the need of blockchain technology along with its case studies in different domains. The literature survey is described that describes how blockchain technology is rising. Further, a number of domains where blockchain technology can be applied along with its case studies have been discussed. In addition, the authors have considered the various use cases with their recent issues and how these issues can be resolved using the blockchain technology by proposing some new ideas. A proposed security framework in certain applications using blockchain technology is presented. Finally, the chapter is concluded with future directions.","PeriodicalId":306168,"journal":{"name":"Large-Scale Data Streaming, Processing, and Blockchain Security","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116614956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：