The Top-Selling, De Facto Guide to SOA--Now Updated with New Content and Coverage of Microservices! For more than a decade, Thomas Erl's best-selling Service-Oriented Architecture: Concepts, Technology, and Design has been the definitive end-to-end tutorial on SOA, service-orientation, and service technologies. Now, Erl has thoroughly updated the industry's de facto guide to SOA to reflect new practices, technologies, and strategies that have emerged through hard-won experience and creative innovation. This Second Edition officially introduces microservices and micro task abstraction as part of service-oriented architecture and its associated service layers. Updated case study examples and illustrations further explain and position the microservice model alongside and in relation to more traditional types of services. Coverage includes: * Easy-to-understand, plain English explanations of SOA and service-orientation fundamentals (as compiled from series titles) * Microservices, micro task abstraction, and containerization * Service delivery lifecycle and associated phases * Analysis and conceptualization of services and microservices * Service API design with REST services, web services, and microservices * Modern service API and contract versioning techniques for web services and REST services * Up-to-date appendices with service-orientation principles, REST constraints, and SOA patterns (including three new patterns) Service-Oriented Architecture: Analysis and Design for Services and Microservices, Second Edition, will be indispensable to application architects, enterprise architects, software developers, and any IT professionals interested in learning about or responsible for designing or implementing modern-day, service-oriented solutions. Chapter 1: Introduction Chapter 2: Case Study Backgrounds Part I: Fundamentals Chapter 3: Understanding Service-Orientation Chapter 4: Understanding SOA Chapter 5: Understanding Layers with Services and Microservices Part II: Service-Oriented Analysis and Design Chapter 6: Analysis and Modeling with Web Services and Microservices Chapter 7: Analysis and Modeling with REST Services and Microservices Chapter 8: Service API and Contract Design with Web Services Chapter 9: Service API and Contract Design with REST Services and Microservices Chapter 10: Service API and Contract Versioning with Web Services and REST Services Part III: Appendices Appendix A: Service-Orientation Principles Reference Appendix B: REST Constraints Reference Appendix C: SOA Design Patterns Reference Appendix D: The Annotated SOA Manifesto

"This text should be required reading for everyone in contemporary business." --Peter Woodhull, CEO, Modus21 "The one book that clearly describes and links Big Data concepts to business utility." --Dr. Christopher Starr, PhD "Simply, this is the best Big Data book on the market!" --Sam Rostam, Cascadian IT Group "...one of the most contemporary approaches I've seen to Big Data fundamentals..." --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data's fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 "V" characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data's distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

Cloud Computing: Concepts, Technology, Security & Architecture Cloud computing has become an integral and foundational part of information technology. The majority of digital business activity and technology innovation occurs with the involvement of contemporary cloud environments that provide highly sophisticated automated technology infrastructure and a vast range of technology resources. To successfully build upon, interact with, or create a cloud environment requires an understanding of its common inner mechanics, architectural layers, models, and security controls. It also requires an understanding of the business and economic factors that justify the adoption and real-world use of clouds and cloud-based products and services. In Cloud Computing: Concepts, Technology, Security & Architecture, Thomas Erl, one of the world’s top-selling IT authors, teams up with cloud computing expert Eric Barceló Monroy and researchers to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, technology mechanisms, and technology architectures. Comprehensive coverage of containerization and cybersecurity topics is also included. All chapters are carefully authored from an industry-centric and vendor-neutral point of view. In doing so, the book establishes concrete, academic coverage with a focus on structure, clarity, and well-defined building blocks for mainstream cloud computing and containerization platforms and solutions. With nearly 370 figures, 40 architectural models, and 50 mechanisms, this indispensable guide provides a comprehensive education of contemporary cloud computing, containerization, and cybersecurity that will never leave your side.

Your Complete Guide to Digital Transformation A Field Guide to Digital Transformation is the definitive book on digital transformation. Top-selling IT author Thomas Erl and long-time practitioner Roger Stoffers combine to provide comprehensive, yet easy-to-understand coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for any IT professionals, students, or decision-makers. With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions. Learn from the experts and: Discover what digital transformation is, why it emerged and when to apply it Identify the significant business benefits that successful digital transformations can deliver and how to turn your organization into a "disruptive" force Prepare for and overcome the common challenges associated with digital transformation initiatives Understand the data-driven nature of digital transformation solutions and how they use and continually accumulate data intelligence Understand how digital transformation solutions can utilize AI technology for intelligent automated decision-making Gain insight into customer-centricity and how its practices are applied as part of digital transformations Explore key digital transformation automation technologies, such as Robotic Process Automation (RPA), Internet of Things (IoT), Blockchain. and Cloud Computing Explore key digital transformation data science technologies, such as Artificial Intelligence (AI), Machine Learning, and Big Data Analysis and Analytics The book concludes with a uniquely detailed and highly visual real-world business scenario that provides step-by-step insights into how a digital transformation solution works, how it utilizes data intelligence to improve customer relationship building, and how it collects new data intelligence in support of enhancing future business capabilities.

Widely acknowledged as a major voice in contemporary Italian literature, Alberto Moravia (1907-1990) published more than 30 books in his lifetime. A novelist, short story writer, and essayist, Moravia is renowned for his exquisite portrayals of the decadence, shallow values, and obsessions of the sex and money driven Italian middle class. His first novel, The Time of Indifference (1929), was an immediate sensation; its descendants, among them The Conformist, The Empty Canvas, and The Lie, positioned him firmly as a master of the narrative art, a moralist, and a realist applauded for his humanism and his powers of observation, deduction, and analysis. Moravia also explored characters from the Italian working class in The Woman of Rome, Two Women, and Roman Tales. Censored in the 1930s and 1940s by both Mussolini's fascists and the Vatican, Moravia is credited with developing an Italian literature of existentialism and with placing Italian literature in a European context. With Alberto Moravia, the teacher and scholar Thomas Erling Peterson contributes the first study of the writer to be published since Moravia's death in 1990. Arguing that Moravia was an intellectual and a craftsman faithful to his interior life and inspiration while active as a public figure in Italian society, Peterson presents an accessible, carefully structured analysis of Moravia's major novels, short fiction, and essays and his lesser known works of drama, criticism, and journalism. Approaching his subject textually and contextually, Peterson offers valuable insights into the times and processes that motivated Moravia, emphasizing moral issues and defining themes such as corruption in postwar Italian society, ambiguities of sexual identity, dilemmas of the alienated artist, and the courage of women in the Italian proletariat. In an introductory chapter, Peterson offers helpful biographical information detailing, for instance, the role of a lengthy childhood illness played in Moravia's development as a writer and the role Moravia's antinuclear views played in his decision to become a member of the European Parliament in 1984. Next, exploring the process of literary creation as it unfolds book by book, Peterson helps readers appreciate Moravia's moral constancy and objectivity. "Moravia (gave) us a diagnosis more than a prognosis," Peterson states," . . . and provided a critical reference point for other artists and intellectuals." With this lucid, historically balanced study, both scholars and students of Italian language and literature, as well as general readers, have an excellent tool for approaching Moravia's work. Included are a Preface, a Chronology, Notes and References, Selected Bibliography, and Index.