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Data Analytics and Big Data
Autor/Hrsg.: Sedkaoui, SorayaOrt: London
Verlag: ISTE Ltd
Jahr: 2018
Umfang: XXVII, 225 pages
ISBN: 9781786303264
Schlagwörter: Big Data / Datenauswertung
| Autor/Hrsg.: |
Sedkaoui, Soraya
|
|---|---|
| Titel: | Data Analytics and Big Data |
| Ort: | London |
| Verlag: | ISTE Ltd |
| Jahr: | 2018 |
| Umfang: |
XXVII, 225 pages |
| Details: |
Diagramme |
| ISBN: | 9781786303264 |
| ISBN: | 1786303264 |
| Reihe: | Informations systems, web and pervasive computing series |
| Kurzbeschreibung: | Cover -- 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 -- 1.6. 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 -- 3. Building an Understanding of Big Data Analytics -- 3.1. 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? -- 4.5. Analytics culture within companies |
| Schlagwörter: |
Big Data ;
Datenauswertung |
| RVK-Notation: | |
| Bestand Bayern: | BV045103155 |
