Hello Modern Data Pipelines : A practical guide to designing and operating modern data pipelines (English Edition)
Language: English
Published by Independently Published Feb 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 47.51
Quantity: 2 available
Add to basketItem description from seller
Neuware - Modern organizations rely on data pipelines to transform raw, continuously generated data into timely and reliable insights. As data volume, velocity, and complexity grow, engineers must design systems that support real-time processing, scalability, governance, and operational reliability. Understanding how these pipelines work has become essential for building data-driven products and platforms. This book provides an end-to-end view of modern data pipeline engineering. It is designed as a practical roadmap that bridges the gap between complex theory and real-world practice for aspiring engineers. It begins with an overview of pipeline objectives and essential ETL/ELT concepts before setting up your technical environment. Readers learn core data engineering principles, pipeline design patterns, ingestion techniques, data processing and transformation strategies, and storage choices. Later chapters focus on data quality, governance, security, real-time processing, orchestration, and monitoring. By the end of this book, readers will be equipped to design, build, and operate production-ready data pipelines with confidence. They will gain the skills needed to make informed architectural decisions, handle real-world data challenges, and build scalable, reliable systems that support analytics and business decision-making.What you will learn? Understand modern data pipeline concepts and architectural foundations.? Design scalable, modular, and fault-tolerant pipeline architectures.? Implement reliable batch and real-time data ingestion strategies.? Transform raw data into analytics-ready datasets efficiently.? Select appropriate storage systems for performance and scalability.? Apply data quality, governance, and security best practices.? Operate, monitor, and troubleshoot production data pipelines.Who this book is forThis book is for software engineers, data engineers, data architects, and platform engineers who design, build, or operate data-intensive systems. It is also suitable for analytics engineers, cloud practitioners, and professionals transitioning into data engineering roles.Table of Contents1. Introduction and Overview2. Data Engineering Essentials3. Designing Scalable Pipeline Architecture4. Advanced Data Ingestion and Integration5. Data Processing and Transformation6. Strategic Data Storage and Management7. Ensuring Data Quality, Governance, and Security8. Real-time Processing and Orchestration9. Case Studies and End-to-end Project10. Troubleshooting, Optimization, and Future Trends. …
Seller Inventory # 9789365894837
- Title
- Hello Modern Data Pipelines : A practical guide to designing and operating modern data pipelines (English Edition)
- Author
- Raj Kishore Singh
- Publisher
- Independently Published Feb 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9365894832
- ISBN 13
- 9789365894837
- Item weight
- 343 grams
- Dimensions
- 229x152x13 mm
Modern organizations rely on data pipelines to transform raw, continuously generated data into timely and reliable insights. As data volume, velocity, and complexity grow, engineers must design systems that support real-time processing, scalability, governance, and operational reliability. Understanding how these pipelines work has become essential for building data-driven products and platforms.
This book provides an end-to-end view of modern data pipeline engineering. It is designed as a practical roadmap that bridges the gap between complex theory and real-world practice for aspiring engineers. It begins with an overview of pipeline objectives and essential ETL/ELT concepts before setting up your technical environment. Readers learn core data engineering principles, pipeline design patterns, ingestion techniques, data processing and transformation strategies, and storage choices. Later chapters focus on data quality, governance, security, real-time processing, orchestration, and monitoring.
By the end of this book, readers will be equipped to design, build, and operate production-ready data pipelines with confidence. They will gain the skills needed to make informed architectural decisions, handle real-world data challenges, and build scalable, reliable systems that support analytics and business decision-making.
What you will learn
● Understand modern data pipeline concepts and architectural foundations.
● Design scalable, modular, and fault-tolerant pipeline architectures.
● Implement reliable batch and real-time data ingestion strategies.
● Transform raw data into analytics-ready datasets efficiently.
● Select appropriate storage systems for performance and scalability.
● Apply data quality, governance, and security best practices.
● Operate, monitor, and troubleshoot production data pipelines.
Who this book is for
This book is for software engineers, data engineers, data architects, and platform engineers who design, build, or operate data-intensive systems. It is also suitable for analytics engineers, cloud practitioners, and professionals transitioning into data engineering roles.
Table of Contents
1. Introduction and Overview
2. Data Engineering Essentials
3. Designing Scalable Pipeline Architecture
4. Advanced Data Ingestion and Integration
5. Data Processing and Transformation
6. Strategic Data Storage and Management
7. Ensuring Data Quality, Governance, and Security
8. Real-time Processing and Orchestration
9. Case Studies and End-to-end Project
10. Troubleshooting, Optimization, and Future Trends
"Synopsis" may belong to another edition of this title.
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