Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-2791-7.ch001
Venkatesan Manian, P. Vadivel
This chapter analyzes the Internet of Things (IoT), its history, and its tools in brief. This chapter also explores the contribution of IoT towards the recent development in infrastructure development of nations represented as smart world. This chapter also discuss the contribution of IoT towards big data analytics era. This chapter also briefly introduce the smart bio world and how it is made possible with the internet of things. This chapter also introduces the machine learning approaches and also discusses the contribution of Internet of Thing for this machine learning. This chapter also briefly introduces some tools used for IoT developments.
{"title":"Advanced Deep Learning Applications in Big Data Analytics","authors":"Venkatesan Manian, P. Vadivel","doi":"10.4018/978-1-7998-2791-7.ch001","DOIUrl":"https://doi.org/10.4018/978-1-7998-2791-7.ch001","url":null,"abstract":"This chapter analyzes the Internet of Things (IoT), its history, and its tools in brief. This chapter also explores the contribution of IoT towards the recent development in infrastructure development of nations represented as smart world. This chapter also discuss the contribution of IoT towards big data analytics era. This chapter also briefly introduce the smart bio world and how it is made possible with the internet of things. This chapter also introduces the machine learning approaches and also discusses the contribution of Internet of Thing for this machine learning. This chapter also briefly introduces some tools used for IoT developments.","PeriodicalId":225325,"journal":{"name":"Advanced Deep Learning Applications in Big Data Analytics","volume":"108 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":"114833673","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: 10.4018/978-1-7998-2791-7.ch006
P. Bala
This chapter explained big data and how to do the data analytics in big data along with the basics of big data with its common traits. This chapter described technology that is used to handle the big data like, NoSQL, Hadoop, MangoDB, MapReduce, etc. This chapter explained the challenges that we are facing to handle big data and discussed some live projects in big data.
{"title":"Introduction of Big Data With Analytics of Big Data","authors":"P. Bala","doi":"10.4018/978-1-7998-2791-7.ch006","DOIUrl":"https://doi.org/10.4018/978-1-7998-2791-7.ch006","url":null,"abstract":"This chapter explained big data and how to do the data analytics in big data along with the basics of big data with its common traits. This chapter described technology that is used to handle the big data like, NoSQL, Hadoop, MangoDB, MapReduce, etc. This chapter explained the challenges that we are facing to handle big data and discussed some live projects in big data.","PeriodicalId":225325,"journal":{"name":"Advanced Deep Learning Applications in Big Data Analytics","volume":"89 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":"115658397","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: 10.4018/978-1-7998-2791-7.ch002
R. P. França, Y. Iano, Ana Carolina Borges Monteiro, Rangel Arthur
Big data is the analysis and interpretation of large volumes of data of great variety. This requires big data-specific solutions that enable IT professionals to work with unstructured information at a great speed. Cloud computing is the on-demand delivery of computing power, database storage, applications, and other IT resources over the internet with a price set according to usage. The relationship between cloud and big data is narrow, where the first is the infrastructure that, in a corporate environment, supports the second, which has enough capacity to process data in large numbers. The connection between these concepts is due to the fact that, in order to deal with big data, an infrastructure is needed that allows the storage, processing, and retrieval of the most varied types of data on a large scale, that is, it has a constant growth. Therefore, this chapter aims to provide an updated review of big data and cloud computing, showing and approaching its success relation with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.
{"title":"Big Data and Cloud Computing","authors":"R. P. França, Y. Iano, Ana Carolina Borges Monteiro, Rangel Arthur","doi":"10.4018/978-1-7998-2791-7.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-2791-7.ch002","url":null,"abstract":"Big data is the analysis and interpretation of large volumes of data of great variety. This requires big data-specific solutions that enable IT professionals to work with unstructured information at a great speed. Cloud computing is the on-demand delivery of computing power, database storage, applications, and other IT resources over the internet with a price set according to usage. The relationship between cloud and big data is narrow, where the first is the infrastructure that, in a corporate environment, supports the second, which has enough capacity to process data in large numbers. The connection between these concepts is due to the fact that, in order to deal with big data, an infrastructure is needed that allows the storage, processing, and retrieval of the most varied types of data on a large scale, that is, it has a constant growth. Therefore, this chapter aims to provide an updated review of big data and cloud computing, showing and approaching its success relation with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.","PeriodicalId":225325,"journal":{"name":"Advanced Deep Learning Applications in Big Data Analytics","volume":"148 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":"128446284","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: 10.4018/978-1-7998-2791-7.ch003
Venkatesan Manian, Vadivel P.
This chapter introduces data science with its history and importance in this modern era briefly. This chapter also elaborates the discussion by relating data science to various modern fields like big data analytics, artificial intelligence, deep learning, and machine learning. This chapter also discuss the necessary of data analytics in this big data era. This chapter also briefly introduces another emerging field, Internet of Things (IoT) and explores the contribution IoT towards big data analytics and data science in research perspective. It also briefly introduces the programming and non-programming tools used in the data science field.
{"title":"Challenges and Applications of Data Analytics in Social Perspectives","authors":"Venkatesan Manian, Vadivel P.","doi":"10.4018/978-1-7998-2791-7.ch003","DOIUrl":"https://doi.org/10.4018/978-1-7998-2791-7.ch003","url":null,"abstract":"This chapter introduces data science with its history and importance in this modern era briefly. This chapter also elaborates the discussion by relating data science to various modern fields like big data analytics, artificial intelligence, deep learning, and machine learning. This chapter also discuss the necessary of data analytics in this big data era. This chapter also briefly introduces another emerging field, Internet of Things (IoT) and explores the contribution IoT towards big data analytics and data science in research perspective. It also briefly introduces the programming and non-programming tools used in the data science field.","PeriodicalId":225325,"journal":{"name":"Advanced Deep Learning Applications in Big Data Analytics","volume":"6 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":"134230736","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}
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