Nifi Dataflow Engineering
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Nifi Dataflow Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-08
Nifi Dataflow Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-08 with Computers categories.
"NiFi Dataflow Engineering" "NiFi Dataflow Engineering" is a comprehensive guide to designing, implementing, and operating sophisticated data pipelines using Apache NiFi. The book is meticulously structured to take you from foundational concepts—such as NiFi’s architecture, flow-based programming principles, and its powerful abstractions—through to advanced dataflow patterns and best practices. Whether you’re new to NiFi or seeking to master the intricacies of process groups, repositories, controller services, and flow versioning, this resource offers deep insights into creating modular, maintainable, and scalable dataflows. Beyond fundamentals, the book delves into advanced engineering patterns essential for real-world deployments. Readers will discover strategies for building robust, high-throughput flows with dynamic routing, prioritization, and error management, as well as techniques for developing custom processors and services. Coverage of operationalization in production environments addresses clustering, high availability, security, audit logging, disaster recovery, and continuous integration/continuous deployment (CI/CD)—making it invaluable for engineers tasked with large-scale, mission-critical data workloads. Finally, "NiFi Dataflow Engineering" explores integration with major data ecosystem tools, including Hadoop, Kafka, cloud platforms, and governance solutions, ensuring connectivity across modern data architectures. The book closes with forward-looking chapters on trends such as real-time analytics, IoT, edge processing, machine learning orchestration, serverless dataflows, automation, and self-healing pipelines. This makes it an essential reference for professionals aspiring to leverage Apache NiFi as the backbone of agile, secure, and transformative digital enterprises.
Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-08
Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Computers categories.
Unlock the full potential of data streaming and real-time pipeline construction with "Advanced Data Streaming with Apache NiFi: Engineering Real-Time Data Pipelines for Professionals." This authoritative guide delves deep into the world of Apache NiFi, a revolutionary open-source tool designed to automate the flow of data between systems. From foundational concepts and architecture to advanced techniques and security measures, this book covers everything professionals need to optimize their data workflows efficiently and effectively. Structured to facilitate incremental learning, the book begins with an introduction to Apache NiFi, exploring its core components and user-friendly interface. Subsequent chapters dive into the intricacies of NiFi’s architecture, the detailed workings of processors, and the art of data flow management and routing. Readers will also uncover the power of the NiFi Expression Language for on-the-fly data manipulation and best practices for securing sensitive data within their flows. "Advanced Data Streaming with Apache NiFi" is not just theoretical; it is a practical guide filled with real-world examples, case studies, and expert insights. Whether you are new to data streaming or an experienced engineer looking to refine your skills, this book is an indispensable resource for building robust, efficient, and secure real-time data pipelines. Master the art of data ingestion, processing, and distribution across various systems with ease. Tackle the challenges of high-volume data processing and learn to troubleshoot common issues, all while ensuring your data flows are secure and compliant. Step into the future of data integration with "Advanced Data Streaming with Apache NiFi: Engineering Real-Time Data Pipelines for Professionals." Start optimizing your real-time data pipelines today for scalability, efficiency, and reliability, and transform the way you manage data across your organization.
Data Engineering With Python
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Author : Paul Crickard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-23
Data Engineering With Python written by Paul Crickard and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-23 with Computers categories.
Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.
Civil Engineering And Urban Research Volume 2
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Author : Hazem Samih Mohamed
language : en
Publisher: CRC Press
Release Date : 2023-03-28
Civil Engineering And Urban Research Volume 2 written by Hazem Samih Mohamed and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-28 with Technology & Engineering categories.
Civil Engineering and Urban Research collects papers resulting from the conference on Civil, Architecture and Urban Engineering (ICCAUE 2022), Xining, China, 24–26 June 2022. The primary goal is to promote research and developmental activities in civil engineering, architecture and urban research. Moreover, it aims to promote scientific information interchange between scholars from the top universities, business associations, research centers and high-tech enterprises working all around the world. The conference conducts in-depth exchanges and discussions on relevant topics such as civil engineering and architecture, aiming to provide an academic and technical communication platform for scholars and engineers engaged in scientific research and engineering practice in the field of urban engineering, civil engineering and architecture design. By sharing the research status of scientific research achievements and cutting-edge technologies, it helps scholars and engineers all over the world comprehend the academic development trend and broaden research ideas. So as to strengthen international academic research, academic topics exchange and discussion, and promote the industrialization cooperation of academic achievements.
Foundations Of Data Engineering Concepts Principles And Practices
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Author : Dr. RVS Praveen
language : en
Publisher: Addition Publishing House
Release Date : 2024-09-23
Foundations Of Data Engineering Concepts Principles And Practices written by Dr. RVS Praveen and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Antiques & Collectibles categories.
Foundations of Data Engineering: Concepts, Principles and Practices" offers a comprehensive introduction to the processes and systems that make data-driven decision-making possible. In today’s data-centric world, companies rely heavily on vast amounts of data to inform strategies, optimize operations, and innovate. This book explains the essential building blocks of data engineering, covering topics like data pipelines, ETL (Extract, Transform, Load) processes, data storage, and distributed computing. The text is structured to guide readers through the end-to-end lifecycle of data, from ingestion to transformation and analysis. It emphasizes best practices in designing robust, scalable data pipelines that ensure high-quality, reliable data is delivered to downstream analytics and machine learning systems. Topics such as batch and real-time data processing are covered, with in-depth discussions on tools and technologies like Apache Kafka, Hadoop, Spark, and cloud-based solutions like Google Cloud and AWS. For those new to the field or looking to expand their knowledge, this book also addresses the importance of data governance, ensuring data integrity, security, and compliance. Readers will gain insights into the challenges of big data and how modern engineering approaches can handle growing data volumes efficiently. With case studies and practical examples throughout, "Foundations of Data Engineering: Concepts, Principles and Practices" is a valuable resource for aspiring data engineers, analysts, and anyone involved in the data ecosystem looking to build scalable, reliable data solutions.
Data Engineering For Data Driven Marketing
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Author : Balamurugan Baluswamy
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-03-10
Data Engineering For Data Driven Marketing written by Balamurugan Baluswamy and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Business & Economics categories.
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.
Advanced Information Systems Engineering Workshops
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Author : Sophie Dupuy-Chessa
language : en
Publisher: Springer Nature
Release Date : 2020-05-15
Advanced Information Systems Engineering Workshops written by Sophie Dupuy-Chessa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the international workshops associated with the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, which was planned to take place in Grenoble, France, during June 8-12, 2020. Due to the Coronavirus pandemic the conference was held virtually. The workshops included in this book are: KET4DF, The Second International Workshop on Key Enabling Technologies for Digital Factories ISESL, The First International Workshop on Information Systems Engineering for Smarter Life The total of 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The book also contains one invited talk.
Data Engineering For Ai Ml Pipelines
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Author : Venkata Karthik Penikalapati
language : en
Publisher: BPB Publications
Release Date : 2024-10-18
Data Engineering For Ai Ml Pipelines written by Venkata Karthik Penikalapati and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Computers categories.
DESCRIPTION Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrastructure. This book covers everything from foundational concepts to advanced techniques. It begins by introducing the role of data engineering in AI/ML, followed by exploring the lifecycle of data, from data generation and collection to storage and management. Readers will learn how to design robust data pipelines, transform data, and deploy AI/ML models effectively for real-world applications. The book also explains security, privacy, and compliance, ensuring responsible data management. Finally, it explores future trends, including automation, real-time data processing, and advanced architectures, providing a forward-looking perspective on the evolution of data engineering. By the end of this book, you will have a deep understanding of the principles and practices of data engineering for AI/ML. You will be able to design and implement efficient data pipelines, select appropriate technologies, ensure data quality and security, and leverage data for building successful AI/ML models. KEY FEATURES ● Comprehensive guide to building scalable AI/ML data engineering pipelines. ● Practical insights into data collection, storage, processing, and analysis. ● Emphasis on data security, privacy, and emerging trends in AI/ML. WHAT YOU WILL LEARN ● Architect scalable data solutions for AI/ML-driven applications. ● Design and implement efficient data pipelines for machine learning. ● Ensure data security and privacy in AI/ML systems. ● Leverage emerging technologies in data engineering for AI/ML. ● Optimize data transformation processes for enhanced model performance. WHO THIS BOOK IS FOR This book is ideal for software engineers, ML practitioners, IT professionals, and students wanting to master data pipelines for AI/ML. It is also valuable for developers and system architects aiming to expand their knowledge of data-driven technologies. TABLE OF CONTENTS 1. Introduction to Data Engineering for AI/ML 2. Lifecycle of AI/ML Data Engineering 3. Architecting Data Solutions for AI/ML 4. Technology Selection in AI/ML Data Engineering 5. Data Generation and Collection for AI/ML 6. Data Storage and Management in AI/ML 7. Data Ingestion and Preparation for ML 8. Transforming and Processing Data for AI/ML 9. Model Deployment and Data Serving 10. Security and Privacy in AI/ML Data Engineering 11. Emerging Trends and Future Direction
Practical Dataflow Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-15
Practical Dataflow Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.
"Practical Dataflow Engineering" "Practical Dataflow Engineering" is a comprehensive guide to the theory, architecture, and practice of building resilient and scalable dataflow systems. Beginning with foundational concepts, the book traces the evolution of dataflow models from their historical roots to their critical role in modern computation. Readers will gain a deep understanding of the mathematical abstractions, such as directed acyclic graphs and token-based computation, that underpin effective dataflow design, as well as the nuances of synchronous and asynchronous execution. These fundamentals are seamlessly connected to the trends in functional programming, event-driven computation, and stream processing that shape contemporary data systems. Through accessible yet thorough chapters, the book examines architectural patterns essential for real-world dataflow applications. It addresses core topics including pipeline and DAG orchestrations, windowing for temporal data, stateful versus stateless processing, and advanced techniques for join, aggregation, and fault tolerance. Readers are introduced to distributed dataflow infrastructure, covering load balancing, checkpointing, network protocols, and cloud-native deployment—all with a keen focus on elasticity, federated architecture, and edge computing. Practical programming guidance is provided for major frameworks like Apache Beam, Flink, and Spark Structured Streaming, alongside strategies for operator development, composable API design, and advanced transformation patterns. Moving beyond system design, "Practical Dataflow Engineering" equips professionals with actionable insights into the optimization, observability, and operational excellence required for reliable production systems. The book covers end-to-end topics such as latency and throughput tuning, memory and resource management, secure communication, regulatory compliance, and multi-tenant architecture. Advanced sections explore dataflow's intersection with AI, serverless technologies, and the future of distributed computation, making this work an essential resource for data engineers, architects, and software developers striving to deliver high-impact, future-ready data solutions.
Data Engineering
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Author : Phil Gilberts
language : en
Publisher: Freegulls Publishing House
Release Date :
Data Engineering written by Phil Gilberts and has been published by Freegulls Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Welcome to the world of data engineering, where the raw material of the digital age—data—is transformed into actionable insights that drive decisions, innovations, and advancements across industries. This book is your gateway into understanding and mastering the essential principles, practices, and technologies that underpin the field of data engineering. In today's data-driven economy, organizations increasingly rely on robust data infrastructures and efficient data pipelines to harness the power of information. Data engineering is the backbone of this infrastructure, encompassing the design, implementation, and maintenance of systems that enable the collection, storage, and processing of vast amounts of data. This book is designed as a comprehensive guide for anyone seeking to embark on a journey into data engineering or looking to deepen their understanding of its intricacies. Whether you are a seasoned data professional, a software engineer transitioning into data roles, or a student eager to explore the forefront of technological innovation, this book will equip you with the knowledge and skills necessary to navigate the complexities of modern data ecosystems. Each chapter is crafted to provide a blend of theoretical foundations, practical insights, and hands-on examples to help you on your way. So, let’s get started!