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Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025


Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025
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Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025


Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025
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Author : Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :

Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025 written by Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma 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 the digital age, the cloud has become the cornerstone of innovation, scalability, and operational efficiency for businesses across industries. As organizations strive to adapt to an increasingly competitive and fast-paced environment, the need to harness the power of the cloud has never been more pressing. However, migrating to the cloud, integrating cloud-based solutions, and automating processes require careful planning, expertise, and strategic decision-making. “Architecting the Intelligent Cloud: A Practitioner’s Guide to Migration, Integration, and Automation” is designed to equip IT professionals, architects, and decision-makers with the knowledge and tools needed to successfully navigate the complex cloud journey. This book provides a comprehensive, hands-on approach to building, managing, and optimizing cloud infrastructures that support intelligent, data-driven applications. The increasing adoption of cloud computing, paired with the rise of artificial intelligence (AI), machine learning (ML), and automation, has fundamentally transformed how businesses operate and interact with their customers. The intelligent cloud is more than just a space for storing data—it is a platform that drives innovation, improves business agility, and enables organizations to build smart applications that respond to real-time data and user needs. However, the path to realizing the full potential of the cloud can be daunting. There are challenges in migration, integration, and automation that organizations must overcome to build a resilient and intelligent cloud infrastructure. In this book, we explore the critical stages of cloud migration, from selecting the right cloud model to assessing legacy systems and choosing the appropriate cloud services for specific business needs. We then dive into the intricacies of cloud integration, discussing how to seamlessly integrate on-premises systems, third-party applications, and cloud-native services to create a unified, efficient environment. Finally, we explore the automation of cloud operations, a key area for reducing manual intervention, optimizing workflows, and enhancing scalability in cloud-based systems. “Architecting the Intelligent Cloud” is aimed at practitioners who want a practical, actionable guide to making intelligent decisions about cloud technologies. Whether you are an architect overseeing large-scale cloud migration or a developer tasked with implementing cloud-native applications, this book provides valuable insights, best practices, and real-world examples to ensure that cloud strategies are executed successfully. The goal is to bridge the gap between theory and practice by focusing on the tools, techniques, and frameworks that can be applied directly to your cloud projects. Each chapter delves into the challenges and opportunities associated with building cloud infrastructures, providing you with practical advice on optimizing performance, enhancing security, and ensuring that cloud systems remain flexible and adaptable as your business evolves. The intelligent cloud is about much more than just technology; it is about transforming how businesses operate, innovate, and serve their customers. Through migration, integration, and automation, organizations can unlock the true potential of the cloud, creating agile, intelligent infrastructures that drive sustainable growth. This book is for the practitioner who wants to understand the “how” and “why” of cloud architecture in the context of modern business, and who is ready to embrace the future of IT with confidence and clarity. Authors



Cloud Strategy


Cloud Strategy
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Author : Gregor Hohpe
language : en
Publisher:
Release Date : 2020-08-03

Cloud Strategy written by Gregor Hohpe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-03 with categories.


Cloud computing is an amazing resource that can provide fully managed platforms, auto-optimizing and even auto-healing operations, per-second billing, pre-trained machine learning models, and globally distributed transactional data stores. Cloud is also a critical enabler for organizations to compete in economies of speed. So, it's no surprise that most enterprises are engaging in a cloud migration or cloud transformation, as it's often called. Migrating a whole enterprise to the cloud isn't as easy as pushing a button, though. Simply lifting and shifting legacy applications is unlikely to bring the anticipated benefits whereas re-architecting applications to run optimally in the cloud can be cost prohibitive. Enterprises thus need a more nuanced strategy than simply proclaiming "cloud first!" A strategy isn't something you can copy-paste from a recipe book or from another organization. Diverse starting points, objectives, and constraints imply different choices and trade-offs. In addition, a cloud strategy doesn't just consider technical change but also includes close alignment across business, organization, and technology. Unfortunately, most books on cloud computing either stay at a very high level or are limited to specific vendors and products. This book closes this gap by questioning existing assumptions and presenting technology-neutral decision models ideally suited to defining and communicating a well-thought-out migration journey. NOTE: This book is available only as a print book on Amazon. For the DRM-free ebook in all formats and more information see CloudStrategyBook.com This book is a valuable guide and a comprehensive reference for: Enterprise architects who are tasked with defining and communicating a comprehensive and balanced cloud strategy Cloud architects who seek to understand the trade-offs embedded in cloud platform architectures IT executives who want to harvest the full benefits of cloud computing and anticipate the ramifications of product and architecture choices Business executives who are looking to align organizational changes with the technical transformation 30 chapters guide an organization along its journey to the cloud, focusing on options, decisions, and trade-offs -- the core elements of a sound strategy. Part 1: Understanding the Cloud - Cloud is very different from traditional IT procurement, so you'll have to rethink the way your IT works. Part 2: Organizing for the Cloud - Cloud impacts more than your tech landscape. Part 3: Moving to the Cloud - There are many ways to the cloud; please choose wisely. Part 4: Architecting the Cloud - Look beyond products and buzzwords and instead use rational decision models. Part 5: Building for the Cloud - The cloud is a formidable platform, but applications running on top of it need to do their part, also. Part 6: Embracing Cloud - To reap the full benefits of cloud, you need to go all in.



Smarter Data Science


Smarter Data Science
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Author : Neal Fishman
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-03

Smarter Data Science written by Neal Fishman 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 2020-06-03 with Computers categories.


Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.



The Robotic Process Automation Handbook


The Robotic Process Automation Handbook
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Author : Tom Taulli
language : en
Publisher: Apress
Release Date : 2020-02-28

The Robotic Process Automation Handbook written by Tom Taulli and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.


While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave. What You'll Learn Develop the right strategy and plan Deal with resistance and fears from employees Take an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costs Evaluate an RPA system Who This Book Is For IT specialists and managers at mid-to-large companies



The Practice Of Enterprise Architecture


The Practice Of Enterprise Architecture
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Author : Svyatoslav Kotusev
language : en
Publisher: SK Publishing
Release Date : 2018-06

The Practice Of Enterprise Architecture written by Svyatoslav Kotusev and has been published by SK Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06 with categories.


Based on an extensive study of the actual industry best practices, this book provides a systematic, end-to-end description of various aspects of an EA practice integrated into a consistent logical picture. This book offers research-based, conceptually sound and practically actionable answers to the key questions related to enterprise architecture.



Artificial Intelligence In Society


Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.


The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.



Data Management At Scale


Data Management At Scale
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Author : Piethein Strengholt
language : en
Publisher:
Release Date : 2022

Data Management At Scale written by Piethein Strengholt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Database design categories.


As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.



Cloud Native Transformation


Cloud Native Transformation
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Author : Pini Reznik
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-05

Cloud Native Transformation written by Pini Reznik and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-05 with Computers categories.


In the past few years, going cloud native has been a big advantage for many companies. But it’s a tough technique to get right, especially for enterprises with critical legacy systems. This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch. By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud. Technical managers and architects will learn best practices for taking on a successful company-wide transformation. Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems. You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes. You’ll learn: What cloud native means and why enterprises are so interested in it Common barriers and pitfalls that have affected other companies (and how to avoid them) Context-specific patterns for a successful cloud native transformation How to implement a safe, evolutionary cloud native approach How companies addressed root causes and misunderstandings that hindered their progress Case studies from real-world companies that have succeeded with cloud native transformations



Ai And Learning Systems


Ai And Learning Systems
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Author : Konstantinos Kyprianidis
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-02-17

Ai And Learning Systems written by Konstantinos Kyprianidis and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Technology & Engineering categories.


Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI



Artificial Intelligence


Artificial Intelligence
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Author : Stuart Russell
language : en
Publisher:
Release Date : 2016-05-05

Artificial Intelligence written by Stuart Russell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-05 with categories.


For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.