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019 _a1038058137
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020 _a9781119528043
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020 _a1119528046
_q(electronic book)
020 _a9781119528067
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020 _a1119528062
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020 _a9781119528050
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020 _z9781786303264
020 _z1786303264
024 7 _a10.1002/9781119528043
_2doi
029 1 _aAU@
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029 1 _aAU@
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035 _a(OCoLC)1037945978
_z(OCoLC)1038058137
_z(OCoLC)1038481574
_z(OCoLC)1038614293
_z(OCoLC)1039614457
_z(OCoLC)1065273797
037 _a9820813
_bIEEE
050 4 _aQA76.9.B45
_bS43 2018
072 7 _aCOM
_x018000
_2bisacsh
072 7 _aCOM
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082 0 4 _a005.7
_223
049 _aMAIN
100 1 _aSedkaoui, Soraya,
_eauthor.
245 1 0 _aData analytics and big data /
_cSoraya Sedkaoui.
264 1 _aLondon, UK :
_bISTE, Ltd. ;
_aHoboken :
_bJohn Wiley & Sons, Inc.,
_c2018.
264 4 _c�2018
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aInformation systems, web and pervasive computing series
504 _aIncludes bibliographical references and index.
520 _aThe main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.
588 0 _aOnline resource; title from digital title page (viewed on September 18, 2018).
505 0 _aPart 1. Towards an understanding of big data: Are you ready? -- From data to big data: you must walk before you can run -- Big data: a revolution that changes the game -- Part 2. Big data analytics: a compilation of advanced analytics techniques that covers a wide range of data -- Building an understanding of big data analytics -- Why data analytics and when can we use it? -- Data analytics process: there's great work behind the scenes -- Part 3. Data analytics and machine learning: the relevance of algorithms -- Machine learning: a method of data analysis that automates analytical model building -- Supervised versus unsupervised algorithms: a guided tour -- Applications and examples.
505 0 _aCover; Half-Title Page; Dedication; Title Page; Copyright Page; Contents; Acknowledgments; Preface; Introduction; Why this book?; Whom is this book for?; Organization of the book; Glossary; PART 1 Towards an Understanding of Big Data:Are You Ready?; 1. From Data to Big Data: You Must Walk Before You Can Run; 1.1. Introduction; 1.2. No analytics without data; 1.2.1. Databases; 1.2.2. Raw data; 1.2.3. Text; 1.2.4. Images, audios and videos; 1.2.5. The Internet of Things; 1.3. From bytes to yottabytes: the data revolution; 1.4. Big data: definition; 1.5. The 3Vs model.
505 8 _a1.6. Why now and what does it bring?1.7. Conclusions; 2. Big Data: A Revolution that Changes the Game; 2.1. Introduction; 2.2. Beyond the 3Vs; 2.3. From understanding data to knowledge; 2.4. Improving decision-making; 2.5. Things to take into account; 2.5.1. Data complexity; 2.5.2. Data quality: look out! Not all data are the right data; 2.5.3. What else? ... Data security; 2.6. Big data and businesses; 2.6.1. Opportunities; 2.6.2. Challenges; 2.7. Conclusions; PART 2 Big Data Analytics: A Compilation of Advanced Analytics Techniques that Covers a Wide Range of Data.
505 8 _a3. Building an Understanding of Big Data Analytics3.1. Introduction; 3.2. Before breaking down the process ... What is data analytics?; 3.3. Before and after big data analytics; 3.4. Traditional versus advanced analytics: What is the difference?; 3.5. Advanced analytics: new paradigm; 3.6. New statistical and computational paradigm within the big data context; 3.7. Conclusions; 4. Why Data Analytics and When Can We Use It?; 4.1. Introduction; 4.2. Understanding the changes in context; 4.3. When real time makes the difference; 4.4. What should data analytics address?
505 8 _a4.5. Analytics culture within companies4.6. Big data analytics application: examples; 4.7. Conclusions; 5. Data Analytics Process: There's Great Work Behind the Scenes; 5.1. Introduction; 5.2. More data, more questions for better answers; 5.2.1. We can never say it enough: "there is no good wind for those who don't know where they are going"; 5.2.2. Understanding the basics: identify what we already know and what we have yet to find out; 5.2.3. Defining the tasks to be accomplished; 5.2.4. Which technology to adopt?
505 8 _a5.2.5. Understanding data analytics is good but knowing how to use it is better! (What skills do you need?)5.2.6. What does the data project cost and how will it pay off in time?; 5.2.7. What will it mean to you once you find out?; 5.3. Next steps: do you have an idea about a "secret sauce"?; 5.3.1. First phase: find the data (data collection); 5.3.2. Second phase: construct the data (data preparation); 5.3.3. Third phase: go to exploration and modeling (data analysis); 5.3.4. Fourth phase: evaluate and interpret the results (evaluation and interpretation).
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aBig data.
650 0 _aDatabases.
650 0 _aDatabase management.
650 0 _aData mining.
650 2 _aData Mining
650 6 _aDonn�ees volumineuses.
650 6 _aBases de donn�ees
_xGestion.
650 6 _aExploration de donn�ees (Informatique)
650 7 _aCOMPUTERS
_xData Processing.
_2bisacsh
650 7 _aCOMPUTERS
_xDatabase Management
_xGeneral.
_2bisacsh
650 7 _aBig data
_2fast
650 7 _aData mining
_2fast
650 7 _aDatabase management
_2fast
650 7 _aDatabases
_2fast
758 _ihas work:
_aData analytics and big data (Text)
_1https://id.oclc.org/worldcat/entity/E39PCGWR4D7gRwgvr9YtVphkcP
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_aSedkaoui, Soraya.
_tData analytics and big data.
_dHoboken, New Jersey : ISTE Ltd/John Wiley and Sons Inc., 2018
_h225 pages
_z9781786303264
_w(DLC) 2018936255
830 0 _aInformation systems, web and pervasive computing series.
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119528043
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