Springer Handbook of Data Engineering
Series: Springer Handbooks;
- Publisher's listprice EUR 534.99
-
208 967 Ft (199 016 Ft + 5% VAT)
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- Discounted price 167 173 Ft (159 213 Ft + 5% VAT)
- Discount is valid until: 30 June 2026
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 30 August 2026
- Number of Volumes 1 pieces, Book
- ISBN 9783031923715
- Binding Hardback
- No. of pages1840 pages
- Size 279x210 mm
- Language English
- Illustrations L, 1840 p. 0
Categories
Long description:
"
The Springer Handbook of Data Engineering is a comprehensive reference on the principles, technologies, and practices for designing, building, and deploying modern data infrastructures. It addresses the engineering foundations required to transform massive, heterogeneous data into actionable knowledge for intelligent systems and data-driven decision-making.
This handbook explores the full spectrum of data engineering challenges, from distributed architectures and cloud-based processing to security, governance, and emerging applications. Thus, the handbook supports the creation and operationalization of modern AI tools, which depend on high-quality, secure, and scalable data pipelines. By integrating diverse aspects of modern data ecosystems into a single comprehensive volume, this handbook establishes itself as a unique reference in the field of data engineering.
The content is organized into eleven parts, covering networking data and the foundations of distributed systems, advanced data analytics techniques, and high-performance computing for big data processing in cloud environments. It examines specialized domains such as health data and finance data, and addresses critical topics including quality of service, smart contracts, and blockchain technologies. Further sections explore sustainable land management through data-driven approaches, as well as issues of data piracy, integration, architectures, and services. Security is treated in depth, alongside emerging concepts such as digital twins and virtual reality. Finally, the handbook provides comprehensive coverage of data quality, lineage, and governance to ensure integrity and compliance in complex data ecosystems.
With contributions from leading experts, it combines theoretical depth with practical insights, making it an indispensable resource for academics, researchers, and professionals.
" MoreTable of Contents:
"
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.
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