Issues in Business Data Processing PDF Download
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Author: Elias M. Awad
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
Author: Elias M. Awad
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
Author: Mike Murach
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 361
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Book Description
Author: Stuart S. Fink
Publisher: by Mocktime Publication
ISBN:
Category : COBOL (Computer program language)
Languages : en
Pages : 67
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Book Description
Author: Kate Behan
Publisher: [London] : Fontana
ISBN: 9780006367048
Category : Business
Languages : en
Pages : 320
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Book Description
Author: Elias M. Awad
Publisher: Prentice Hall
ISBN: 9780130937575
Category : Business
Languages : en
Pages : 279
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Book Description
Author: Lawrence Orilia
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 424
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Book Description
Author: Lawrence Orilia
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 770
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Book Description
Introduces Computers & Business Data Processing in a Nontechnical Form. Covers Subjects from Flowcharting & Languages to Computerized Crime & Word Processing
Author: James W. Cortada
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
Author: Pradip Kumar Das
Publisher: Springer Nature
ISBN: 981161007X
Category : Computers
Languages : en
Pages : 219
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Book Description
This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.
