Practical Data Engineering For Cloud Migration From Legacy To Scalable Analytics 2025
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Practical Data Engineering For Cloud Migration From Legacy To Scalable Analytics 2025
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Author : Author:1- Sanchee Kaushik, Author:1- Prof. Dr. Dyuti Banerjee
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Practical Data Engineering For Cloud Migration From Legacy To Scalable Analytics 2025 written by Author:1- Sanchee Kaushik, Author:1- Prof. Dr. Dyuti Banerjee and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The exponential growth of data in today’s digital landscape has reshaped how businesses operate, forcing organizations to rethink their data strategies and technologies. As more companies embrace cloud computing, migrating legacy data systems to the cloud has become a critical step towards achieving scalability, flexibility, and agility in data management. “Practical Data Engineering for Cloud Migration: From Legacy to Scalable Analytics” serves as a comprehensive guide for professionals, data engineers, and business leaders navigating the complex but transformative journey of migrating legacy data systems to modern cloud architectures. The cloud has emerged as the cornerstone of modern data infrastructure, offering unparalleled scalability, on-demand resources, and advanced analytics capabilities. However, the transition from legacy systems to cloud-based architectures is often fraught with challenges—ranging from data compatibility issues to migration complexities, security concerns, and the need to ensure that the newly integrated systems perform optimally. This book bridges that gap by providing practical, real-world solutions for overcoming these challenges while focusing on achieving a scalable and high-performing data environment in the cloud. This book is designed to guide readers through every aspect of the cloud migration process. It starts by addressing the core principles of data engineering, data modeling, and the basics of cloud environments. From there, we delve into the specific challenges and best practices for migrating legacy data systems, transitioning databases to the cloud, optimizing data pipelines, and leveraging modern tools and platforms for scalable analytics. The chapters provide step-by-step guidance, strategies for handling large-scale data migrations, and case studies that highlight the successes and lessons learned from real-world cloud migration initiatives. Throughout this book, we emphasize the importance of ensuring that cloud migration is not just a technical task but a strategic business decision. By providing insights into how cloud migration can unlock new opportunities for data-driven innovation, this book aims to empower organizations to make informed decisions, harness the full potential of their data, and move towards more efficient and scalable cloud-native analytics solutions. Whether you are an experienced data engineer tasked with migrating legacy systems or a business leader looking to understand the strategic value of cloud data architectures, this book will provide you with the knowledge and tools necessary to execute a successful cloud migration and set your organization up for future growth. Authors
Cloud First Data Engineering Architecting Scalable Pipelines And Analytics With Aws 2025
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Author : Author:1- PEEYUSH PATEL Author:2 -DR. MANMOHAN SHARMA
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Cloud First Data Engineering Architecting Scalable Pipelines And Analytics With Aws 2025 written by Author:1- PEEYUSH PATEL Author:2 -DR. MANMOHAN SHARMA and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Author:1- PEEYUSH PATEL Author:2 -DR. MANMOHAN SHARMA ISBN - 978-93-6788-817-9 Preface In today’s digital economy, organizations generate more data in a single day than many legacy systems could process in years. The shift to cloud-first architectures has transformed how we collect, store, and analyze information—enabling businesses to respond faster to market changes, scale without upfront hardware investments, and foster innovation across teams. This book, Cloud-First Data Engineering: Architecting Scalable Pipelines and Analytics with AWS, is written for data engineers, architects, and technical leaders who seek to design robust, high-performing data platforms using Amazon Web Services. Over the past decade, AWS has introduced a rich portfolio of data services—ranging from serverless ETL (AWS Glue) and streaming solutions (Kinesis, MSK) to petabyte-scale analytics (Redshift, Athena) and machine learning integrations (SageMaker). Yet, with such breadth comes complexity: selecting the right components, designing for cost efficiency, maintaining security and compliance, and ensuring operational excellence are constant challenges. This book distills best practices, architectural patterns, and real-world examples into a cohesive roadmap. You will learn how to build end-to-end pipelines that evolve with your data volume, implement modern data Lakehouse strategies, enable real-time insights, and incorporate governance at every layer. Chapters progress from foundational concepts—such as cloud-first paradigms and core AWS data services—to advanced topics like Data Mesh, serverless Lakehouse’s, generative AI for data quality, and emerging roles in data organization. Each section demystifies the trade-offs, illustrates implementation steps, and highlights pitfalls to avoid. Whether you are migrating legacy workloads, optimizing existing pipelines, or pioneering new analytics capabilities, this book serves as both a practical guide and strategic playbook to navigate the ever-changing landscape of cloud data engineering on AWS. Authors
Evolving Legacy Systems Transitioning To Microservices And Cloud Native Architectures
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-09
Evolving Legacy Systems Transitioning To Microservices And Cloud Native Architectures 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 2025-01-09 with Computers categories.
'Evolving Legacy Systems: Transitioning to Microservices and Cloud-Native Architectures' provides a crucial roadmap for organizations aiming to modernize their IT infrastructure. Written for IT professionals, architects, and business leaders, this book demystifies the complexities of transitioning from rigid, outdated systems to flexible, scalable microservices and robust cloud-native solutions. Delving deep into practical strategies, the book guides readers through each phase of the migration process—from the initial assessment and planning stages, through to the decomposition of monolithic systems and data management challenges. It also covers migration to cloud platforms, rigorous testing strategies, and essential monitoring and maintenance practices in new environments. With a focus on actionable insights and proven methodologies, this text equips readers with the knowledge needed to successfully manage the transformation, ensuring that it aligns with business goals and minimizes risk. The clear, factual tone makes complex concepts accessible, turning the theoretical into the achievable. Enhance your organization’s agility, efficiency, and competitive edge with 'Evolving Legacy Systems: Transitioning to Microservices and Cloud-Native Architectures'—an indispensable resource for navigating the challenges and seizing the opportunities of modern IT architecture.
Designing Data Intensive Applications
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Author : Martin Kleppmann
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-03-16
Designing Data Intensive Applications written by Martin Kleppmann and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Computers categories.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Migrating Legacy Systems
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Author : Michael L. Brodie
language : en
Publisher:
Release Date : 1995
Migrating Legacy Systems written by Michael L. Brodie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
Information systems that resist modification and don't support organizational requirements are a critical business problem. The authors present a step-by-step strategy for complete IS migration to a new environment and discuss the potential problems and alternatives that may arise in the process.
Business Challenges And Opportunities In The Era Of Industry 5 0
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Author : Simon Grima
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-02-14
Business Challenges And Opportunities In The Era Of Industry 5 0 written by Simon Grima 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 2025-02-14 with Business & Economics categories.
Industry 5.0, also known as the fifth industrial revolution, is characterised by advanced technologies such as artificial intelligence, the Internet of Things (IoT), and robotics in manufacturing and other industries. The use of innovative technologies in Industry 5.0 can bring several benefits to companies and the industrial sector, including increased efficiency and productivity, improved product quality, and the ability to create new products and services. In addition, these technologies help businesses to reduce their environmental impact and operate more sustainably. Business Challenges and Opportunities in the Era of Industry 5.0 discusses the development and current technologies within Industry 5.0 and how these apply to various disciplines and sectors such as education, health, finance, production, automotive and construction. This book delves into various Industry 5.0 technologies and how these can improve production and give businesses a competitive edge to remain relevant in a rapidly changing business landscape.The ESFIRM series collects quantitative and qualitative studies in areas relating to finance insurance and risk management. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour management, and business economics. In the disruption of political upheaval new technologies, climate change and new regulations, it is more important than ever to understand risk in the financial industry. Providing high quality academic research, this book series provides a platform for authors to explore analyse and discuss current and new financial models and theories and engage with innovative research on an international scale.
Kubernetes Event Driven Autoscaling With Keda
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-13
Kubernetes Event Driven Autoscaling With Keda written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.
"Kubernetes Event-driven Autoscaling with KEDA" Unlock the full potential of cloud-native architectures with "Kubernetes Event-driven Autoscaling with KEDA," the definitive guide for engineers, architects, and DevOps professionals navigating the complexities of dynamic, event-driven workload scaling. This comprehensive book begins by dissecting Kubernetes autoscaling fundamentals, exploring the mechanisms and limitations of Kubernetes’ native scaling solutions. Readers are introduced to foundational concepts such as the control plane and metric-driven scaling, before delving into the unique challenges associated with unpredictable, spiky workloads typical in modern distributed systems. The heart of the book offers an in-depth exploration into the internals of KEDA—Kubernetes-based Event Driven Autoscaling—illuminating its architecture, integration patterns, and extensibility. Readers will discover advanced techniques for integrating diverse event sources, securing event-driven pipelines, and deploying KEDA seamlessly across hybrid, edge, and multi-cloud environments. Real-world examples demonstrate how to leverage KEDA’s ScaledObjects, ScaledJobs, and custom scaler plugins to enable resilient, responsive scaling for stateless and stateful workloads alike, all while ensuring operational efficiency and cost optimization at scale. Touching on every facet of the event-driven Kubernetes journey, the book addresses instrumentation, observability, and troubleshooting strategies tailored to highly dynamic environments. With sections on performance engineering, predictive autoscaling, building custom scalers, and contributing to the open-source KEDA project, this guide empowers practitioners to design robust, future-proof autoscaling workflows. Rounded out by best practices, anti-patterns, and migration strategies, "Kubernetes Event-driven Autoscaling with KEDA" stands as an essential resource for delivering scalable, reliable, and cost-effective cloud-native applications.
Design Patterns For Cloud Native Applications
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Author : Kasun Indrasiri
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-17
Design Patterns For Cloud Native Applications written by Kasun Indrasiri and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-17 with Computers categories.
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
Monolith To Microservices
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Author : Sam Newman
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-11-14
Monolith To Microservices written by Sam Newman and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-14 with Computers categories.
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture. With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture. Ideal for organizations looking to transition to microservices, rather than rebuild Helps companies determine whether to migrate, when to migrate, and where to begin Addresses communication, integration, and the migration of legacy systems Discusses multiple migration patterns and where they apply Provides database migration examples, along with synchronization strategies Explores application decomposition, including several architectural refactoring patterns Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more
The Data Warehouse Etl Toolkit
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Author : Ralph Kimball
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-27
The Data Warehouse Etl Toolkit written by Ralph Kimball and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-27 with Computers categories.
Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality