Buch, Englisch, 426 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 948 g
A Classroom Approach
Buch, Englisch, 426 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 948 g
ISBN: 978-1-77188-834-9
Verlag: Apple Academic Press Inc.
Ultimately, readers will be able to:
• understand what big data is and the factors that are involved
• understand the inner workings of MapReduce, which is essential for certification exams
• learn the features and weaknesses of MapReduce
• set up Hadoop clusters with 100s of physical/virtual machines
• create a virtual machine in AWS
• write MapReduce with Eclipse in a simple way
• understand other big data processing tools and their applications
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Informatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein EDV: Zertifizierung
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines
Weitere Infos & Material
Preface. 1. Introduction to Big Data. 2. Hadoop Framework. 3. Hadoop 1.2.1 Installation. 4. Hadoop Ecosystem. 5. Hadoop 2.7.0. 6. Hadoop. 2.7.0 Installation. 7. Data Science. 8. MapReduce Exercise. 9. Case Study: Application Development for NYSE Dataset.