Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025
DOWNLOAD
Download Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025 PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025 book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025
DOWNLOAD
Author : AUTHOR-1: Vamsi Krishna Koganti, AUTHOR-2: Dr.Gauri Shanker Kushwaha
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025 written by AUTHOR-1: Vamsi Krishna Koganti, AUTHOR-2: Dr.Gauri Shanker Kushwaha 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 Cloud-Native Financial Systems: From Legacy to Real-Time Intelligence presents a comprehensive roadmap for transforming traditional financial infrastructures into agile, resilient, and intelligent systems using cloud-native principles. As the financial industry undergoes unprecedented digital disruption, institutions are compelled to modernize core systems, embrace real-time processing, and meet the growing demands for security, interoperability, and innovation. This book serves as a strategic and technical guide for IT leaders, cloud architects, developers, compliance officers, and financial technology professionals driving this transformation. The financial sector faces a dual challenge: retaining trust through reliability and compliance while accelerating the delivery of new, intelligent products in an increasingly competitive digital ecosystem. Traditional monolithic architectures, legacy batch processing systems, and siloed databases no longer meet the expectations of real-time insights, 24/7 accessibility, and scalable innovation. Cloud-native technologies—comprising containerization, microservices, serverless computing, API-first design, DevSecOps, and AI/ML—offer the foundation to not only re-architect aging platforms but also reimagine financial services for the future. This book is structured to follow the logical arc of digital transformation. Chapter 1 sets the stage with an introduction to the need and impact of cloud-native adoption in finance. Chapter 2 explores the constraints and opportunities within legacy systems. Chapter 3 details cloud architecture principles tailored to financial workloads. Chapter 4 and Chapter 5 dive into the technologies of containerization and real-time data processing. Chapter 6 emphasizes API-first design, while Chapter 7 tackles critical concerns around security, compliance, and governance. In Chapter 8, we explore the power of cloud-native data lakes in extracting financial intelligence. Chapter 9 explains DevOps and CI/CD strategies within highly regulated environments. Chapter 10 introduces intelligent automation through AI/ML, and finally, Chapter 11 focuses on business continuity, resilience, and observability as foundational pillars of trust and uptime. Whether you’re modernizing a legacy banking core, building fintech platforms from scratch, or engineering intelligent analytics pipelines, this book will help you understand not only what needs to change—but how to design, implement, and scale cloud-native systems that are compliant, scalable, and future-ready. Authors
Modernizing Legacy Banking Systems A Practical Guide To Digital Transformation 2025
DOWNLOAD
Author : Malli Temburu, Rakesh Kumar
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Modernizing Legacy Banking Systems A Practical Guide To Digital Transformation 2025 written by Malli Temburu, Rakesh Kumar 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 Law categories.
PREFACE The financial services industry is at the precipice of a profound transformation. As technology continues to evolve, so too does the need for banks and financial institutions to modernize their core systems, many of which are deeply entrenched in legacy infrastructure. These outdated systems, while functional, are increasingly becoming impediments to growth, innovation, and customer satisfaction. To remain competitive and relevant in the modern world, banks must embrace digital transformation, adopt new technologies, architectures, and processes that enable them to meet the expectations of today’s digital-first customers. “Modernizing Legacy Banking Systems: A Practical Guide to Digital Transformation” is written for banking executives, IT leaders, and financial technology professionals seeking to navigate the complex journey of modernizing their legacy systems. In this book, we delve into the strategic, technical, and operational considerations of digital transformation in the banking sector. We examine the key challenges faced by institutions operating with legacy systems and provide practical guidance on how to evolve these systems to harness the full potential of modern technologies like cloud computing, data analytics, artificial intelligence (AI), and open APIs. This guide aims to provide a comprehensive, step-by-step approach to the modernization process, exploring everything from understanding the fundamentals of legacy banking systems to leveraging new technologies for improved operational efficiency, customer experience, and regulatory compliance. With case studies, industry best practices, and expert insights, we outline how banks can transform their IT infrastructure while minimizing risk and ensuring that customer needs remain at the heart of the process. The traditional model of banking—characterized by rigid, monolithic, and often siloed systems—is no longer suitable in an era where customers expect seamless, personalized, and always-on services. Modern banks are increasingly turning to cloud computing, data analytics, artificial intelligence, and API-driven architectures to provide more agile, scalable, and cost-effective solutions. Yet, the journey to digital transformation is complex. The scale of change required is vast, and each institution’s path will be unique, depending on its existing technology landscape, organizational culture, and strategic goals. We also explore the critical importance of data management, cybersecurity, and compliance in this transformation. As banks modernize their systems, they must ensure that security and privacy remain top priorities. Ensuring compliance with financial regulations, including GDPR, CCPA, and Basel III, is essential for both mitigating risk and maintaining customer trust in an increasingly interconnected digital world. The challenges of modernizing legacy banking systems are significant, but the opportunities are equally vast. With the right tools and strategies in place, banks can not only improve their internal operations but also enhance customer satisfaction, drive innovation, and create new avenues for growth. From improving operational efficiency to offering new services, the benefits of a well-executed digital transformation are clear. This book aims to serve as both a roadmap and a reference for financial institutions at any stage of their modernization journey. Whether you’re just beginning to explore the potential of digital transformation or are during overhauling your systems, this guide provides valuable insights and actionable strategies that can help ensure success. In the chapters that follow, we will walk you through the essential components of modernizing legacy banking systems, covering topics ranging from the technical architecture of cloud-based core banking platforms to the role of artificial intelligence in improving customer service. By the end of this guide, readers will have a clear understanding of how to navigate the complexities of digital transformation and unlock the full potential of modern banking technology. As we move forward into this digital age, one thing is certain: banks must evolve, adapt, and embrace change if they are to thrive. This book will help you take the first steps on that transformative journey. Authors
Advanced It Modernization Architectures And Best Practices 2025
DOWNLOAD
Author : Pravin Pandey, Balkrishna Patil, Dr. Ajay Shriram Kushwaha
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Advanced It Modernization Architectures And Best Practices 2025 written by Pravin Pandey, Balkrishna Patil, Dr. Ajay Shriram Kushwaha and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s rapidly evolving technological landscape, organizations across all industries face the imperative to modernize their IT infrastructures in order to remain competitive, efficient, and responsive to customer needs. IT modernization is no longer just an option but a strategic necessity for businesses that aim to leverage the latest technologies, improve operational efficiencies, and better serve their customers. As digital transformation accelerates, it has become clear that organizations must move beyond legacy systems and embrace modern architectures to address the challenges of agility, scalability, security, and innovation. This book, Advanced IT Modernization: Architectures and Best Practices, serves as a comprehensive guide for IT leaders, architects, developers, and decision-makers who are embarking on the journey of modernizing their IT landscapes. By focusing on architectural patterns, best practices, and emerging technologies, the book provides a holistic view of IT modernization, offering practical insights and actionable strategies that can be applied to real-world scenarios. The book aims to bridge the gap between theoretical knowledge and practical implementation, ensuring that organizations can effectively modernize their systems, infrastructure, and workflows to meet the demands of the future. The journey to modernize IT involves a wide range of considerations, including choosing the right cloud platforms, transitioning to microservices and containerized environments, ensuring data security and compliance, and implementing DevOps practices. In this book, we explore how to approach these challenges through detailed case studies, proven architectures, and expert perspectives that highlight the impact of cloud computing, edge computing, serverless technologies, and AI-driven automation in the modernization process. These technologies are revolutionizing how businesses operate and interact with their customers, and understanding how to integrate them seamlessly into existing systems is key to achieving lasting success. A critical aspect of modern IT architectures is the shift from monolithic applications to microservices-based systems that promote flexibility, scalability, and resilience. Throughout this book, we delve into the principles and practices behind cloud-native designs, offering guidance on how to structure applications and infrastructure in a way that fosters agility and enables faster innovation cycles. The DevOps approach, which emphasizes collaboration, automation, and continuous improvement, is explored in depth, providing insights into how these methodologies can be effectively implemented to support IT modernization. Security is another central theme in IT modernization. As organizations embrace more decentralized, cloud-based, and distributed architectures, ensuring that systems are secure and compliant with regulatory standards becomes increasingly complex. This book provides best practices for securing cloud-native applications, managing identities and access, and ensuring that data privacy and security are built into the foundation of modern IT systems. For organizations to remain competitive in a fast-paced world, data management must be approached with a modern mindset. This book discusses advanced techniques in data storage, data analytics, and AI-powered decision-making that allow businesses to extract valuable insights and make informed decisions. Understanding how to leverage data as an asset in the context of IT modernization is essential for driving innovation and enhancing customer experiences. Throughout the chapters, we will also cover the evolving role of automation and AI in transforming IT operations, enhancing performance, and reducing costs. The integration of AI and machine learning into automation tools can optimize processes, predict trends, and enable faster problem-solving. Cloud orchestration, serverless computing, and edge computing will be explored as ways to enhance system efficiency and offer unprecedented scalability. By drawing on insights from industry experts and presenting practical, actionable strategies, this book provides a road map for modernizing IT infrastructures. Whether your organization is in the early stages of IT transformation or looking to refine and optimize your existing systems, this guide will provide the necessary tools, techniques, and insights to lead your organization through a successful IT modernization journey. We invite you to explore the challenges, opportunities, and best practices that are shaping the future of IT. This book will serve as a valuable resource for professionals navigating the complex world of IT modernization, offering them the knowledge and strategies needed to build the next generation of IT infrastructures. The principles outlined here are not just about adopting new technologies but about rethinking the way organizations build, deploy, and manage their IT systems in a way that drives innovation, efficiency, and business success.
Practical Data Engineering For Cloud Migration From Legacy To Scalable Analytics 2025
DOWNLOAD
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
Evolving Legacy Systems Transitioning To Microservices And Cloud Native Architectures
DOWNLOAD
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.
Modernizing The Food Industry Ai Powered Infrastructure Security And Supply Chain Innovation
DOWNLOAD
Author : Whig, Pawan
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Modernizing The Food Industry Ai Powered Infrastructure Security And Supply Chain Innovation written by Whig, Pawan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Technology & Engineering categories.
The food industry has changed immensely with the integration of AI. AI-powered technologies are streamlining operations and enhance food safety. Smart systems can now predict demand and optimize logistics in real time. As global supply chains become more intricate and consumer expectations rise, modernizing the food industry with AI is not only a competitive advantage but a necessary evolution for resilience, sustainability, and long-term growth. Modernizing the Food Industry: AI-Powered Infrastructure, Security, and Supply Chain Innovation explores how AI is transforming the food industry by enhancing infrastructure efficiency, strengthening food security, and optimizing supply chain operations. It examines cutting-edge technologies and real-world applications that drive innovation, sustainability, and resilience across the global food ecosystem. Covering topics such as automation, food traceability, and nutrition, this book is an excellent resource for food industry professionals, supply chain managers, technology innovators, AI researchers, policymakers, academicians, and more.
Data That Drives Engineering Bi And Etl For Business Transformation
DOWNLOAD
Author : Dhaval Patolia
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-05-23
Data That Drives Engineering Bi And Etl For Business Transformation written by Dhaval Patolia and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Business Intelligence (BI) and Extract, Transform, and Load (ETL) procedures are becoming more important to organisations in today's data- driven economy. These processes are used to drive strategic decision-making and obtain a competitive edge. Within the context of facilitating business transformation, this chapter offers an examination of the crucial role that developing effective BI and ETL frameworks plays. Business intelligence systems are able to transform raw data into actionable insights that can be used to improve operational efficiency, customer engagement, and innovation. This is accomplished via the systematic collection, processing, and analysis of massive amounts of heterogeneous data and information. An emphasis is placed in the research on the architectural design of ETL pipelines that are scalable, adaptable, and real-time. These pipelines should guarantee that data is of high quality, consistent, and timely. It analyses contemporary data engineering approaches such as API integration, Change Data Capture (CDC), and stream processing, all of which make it possible to consume and convert data from a variety of sources in a seamless manner. In addition to this, the study emphasises the use of sophisticated analytics and visualisation technologies that provide stakeholders at all levels of the organisation additional leverage. This chapter explains, through the use of case studies and best practices, how well-engineered business intelligence (BI) and enterprise transaction flow (ETL) systems not only increase the accuracy of reporting and forecasting, but also allow proactive business plans, agile reactions to changes in the market, and continuous development. The results highlight how important it is to achieve alignment between data engineering and business objectives, governance regulations, and new technologies like as machine learning and cloud computing. The purpose of this work is to provide a thorough guide for data engineers, business analysts, and decision-makers who are interested in maximising the potential of their data assets in order to achieve real business change.
Artificial Intelligence For Cloud Native Software Engineering
DOWNLOAD
Author : Chelliah, Pethuru Raj
language : en
Publisher: IGI Global
Release Date : 2025-05-07
Artificial Intelligence For Cloud Native Software Engineering written by Chelliah, Pethuru Raj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions. Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Next Gen Customer Engagement With Dynamics 365 Power Platform And Copilot 2025
DOWNLOAD
Author : Author:1- PRADEEP RAJA, Author:2-DR B. P. JOSHI
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Next Gen Customer Engagement With Dynamics 365 Power Platform And Copilot 2025 written by Author:1- PRADEEP RAJA, Author:2-DR B. P. JOSHI 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 Over the past decade, I’ve had the privilege of helping global enterprises reinvent how they engage with customers — from automating frontline operations at manufacturing plants to launching AI-powered CRM portals for public sector agencies. The journey has taught me one thing: customer engagement isn’t just a system. It’s a strategy, a design pattern, and increasingly, a platform for human connection. This book was born from real-world lessons — hard-won through implementation, integration, and iteration — across Dynamics 365, Power Platform, and now, Microsoft Copilot. These technologies are transforming how organizations anticipate customer needs, personalized support, and scale intelligent services. But more importantly, they’re reshaping how we architect empathy, context, and trust into every digital touchpoint. In the chapters that follow, you’ll find not just tool overviews, but practical frameworks, architectural blueprints, and field-proven patterns — drawn directly from my experience leading transformation initiatives across industries. You’ll also see real scenarios where: · AI Copilot enhanced service resolution times and agent effectiveness · Power Apps enabled rapid mobile rollout for field teams
Business Modeling And Software Design
DOWNLOAD
Author : Boris Shishkov
language : en
Publisher: Springer Nature
Release Date : 2025-08-01
Business Modeling And Software Design written by Boris Shishkov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
This book constitutes the refereed proceedings of the 15h International Symposium on Business Modeling and Software Design, BMSD 2025, which took place in Milan, Italy, during July 1-3, 2025. The 9 full papers and 14 short papers included in these proceedings were carefully reviewed and selected from 48 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering, Business Models and Requirements, Business Models and Services, Business Models and Software, Information Systems Architectures and Paradigms, Data Aspects in Business Modeling and Software Development, Blockchain-Based Business Models and Information Systems, IoT and Implications for Enterprise Information Systems.