Springer Handbook of Data Engineering
Springer International Publishing (Verlag)
978-3-031-92371-5 (ISBN)
- Noch nicht erschienen - erscheint am 19.07.2026
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After the fast development in Internet technologies, data has been coined as the new oil . Indeed, on the one hand, Internet technologies have enabled gathering and storing unlimited amounts of data in Data Centers and, on the other, Cloud computing ecosystem has enabled unlimited computing capacity for processing and analyzing the data. Data knowledge requires data engineering to enable knowledge integration into decision-making, businesses processes, etc.
Data Engineering addresses building and deployment of distributed, scalable and reliable data infrastructures and integrating them into the knowledge and business pipelines of institutions, organizations, businesses and alike.
The Springer Handbook of Data Engineering provides a comprehensive coverage of the engineering aspects of building and deploying distributed, scalable, secure and reliable data infrastructures for intelligent processing and decision making systems.
Prof. Dr. Fatos Xhafa is Full Professor (Catedràtic d'Universitat) at the Dept. of Computer Science, Universitat Politècnica de Catalunya, Barcelona, Spain. He received his PhD in Computer Science from the Dept. of CS at BarcelonaTech in 1998. He has held various academic positions at BarcelonaTech and short term positions abroad including Visiting Professorship at University of Surrey and at the University of London, UK and a Research Associate at Drexel University, USA. He is a member of the IMP-Information Modelling Processing Research Group of UPC.
PART I: Networking Data.- Part II: Data Analytics.- Part III: HPC Big Data Processing in Cloud Environments..- Part IV: Health Data.- Part V: Finance Data.- Part VI: Quality of Service, Smart Contracts and Blockchain.- Part VII: Sustainable Land Management.- Part VIII: Data Piracy, Data Integreation, Architectures and Services.- Part IX: Data Security.- Part X: Digital Twins and Virtual Reality.- Part XI: Data Quality, Data Lineage/Data Governance.
| Erscheint lt. Verlag | 19.7.2026 |
|---|---|
| Reihe/Serie | Springer Handbooks |
| Zusatzinfo | Approx. 1000 p. 450 illus., 400 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 210 x 279 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Technik | |
| Schlagworte | Cloud Computing • data analytics • Data centers • data engineering • Data Ethics • data privacy and security • HPC Cloud • Networking data • Scalable Computing |
| ISBN-10 | 3-031-92371-5 / 3031923715 |
| ISBN-13 | 978-3-031-92371-5 / 9783031923715 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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