Skip to main content
View Cart

Morgan Kaufmann

  • Principles of Big Data

    Preparing, Sharing, and Analyzing Complex Information
    • 1st Edition
    • Jules J. Berman
    • English
    Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.

  • Implementing Analytics

    A Blueprint for Design, Development, and Adoption
    • 1st Edition
    • Nauman Sheikh
    • English
    Implementing Analytics demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption across all functions of an organization. Implementing Analytics simplifies and helps democratize a very specialized discipline to foster business efficiency and innovation without investing in multi-million dollar technology and manpower. A technology agnostic methodology that breaks down complex tasks like model design and tuning and emphasizes business decisions rather than the technology behind analytics.

  • Data Warehousing in the Age of Big Data

    • 1st Edition
    • Krish Krishnan
    • English
    Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

  • Software Engineering

    Architecture-driven Software Development
    • 1st Edition
    • Richard F Schmidt
    • English
    Software Engineering: Architecture-driven Software Development is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard. Standards expert Richard Schmidt explains the traditional software engineering practices recognized for developing projects for government or corporate systems. Software engineering education often lacks standardization, with many institutions focusing on implementation rather than design as it impacts product architecture. Many graduates join the workforce with incomplete skills, leading to software projects that either fail outright or run woefully over budget and behind schedule. Additionally, software engineers need to understand system engineering and architecture—the hardware and peripherals their programs will run on. This issue will only grow in importance as more programs leverage parallel computing, requiring an understanding of the parallel capabilities of processors and hardware. This book gives both software developers and system engineers key insights into how their skillsets support and complement each other. With a focus on these key knowledge areas, Software Engineering offers a set of best practices that can be applied to any industry or domain involved in developing software products.

  • Understanding Augmented Reality

    Concepts and Applications
    • 1st Edition
    • Alan B. Craig
    • English
    Understanding Augmented Reality addresses the elements that are required to create augmented reality experiences. The technology that supports augmented reality will come and go, evolve and change. The underlying principles for creating exciting, useful augmented reality experiences are timeless. Augmented reality designed from a purely technological perspective will lead to an AR experience that is novel and fun for one-time consumption - but is no more than a toy. Imagine a filmmaking book that discussed cameras and special effects software, but ignored cinematography and storytelling! In order to create compelling augmented reality experiences that stand the test of time and cause the participant in the AR experience to focus on the content of the experience - rather than the technology - one must consider how to maximally exploit the affordances of the medium. Understanding Augmented Reality addresses core conceptual issues regarding the medium of augmented reality as well as the technology required to support compelling augmented reality. By addressing AR as a medium at the conceptual level in addition to the technological level, the reader will learn to conceive of AR applications that are not limited by today’s technology. At the same time, ample examples are provided that show what is possible with current technology.

  • The Case for the Chief Data Officer

    Recasting the C-Suite to Leverage Your Most Valuable Asset
    • 1st Edition
    • Peter Aiken + 1 more
    • English
    Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: Dedication solely to leveraging data assets, Unconstrained by an IT project mindset, and Reports directly to the business Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner. The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it.

  • Mastering Cloud Computing

    Foundations and Applications Programming
    • 1st Edition
    • Rajkumar Buyya + 2 more
    • English
    Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout.

  • Visual Usability

    Principles and Practices for Designing Digital Applications
    • 1st Edition
    • Tania Schlatter + 1 more
    • English
    Imagine how much easier creating web and mobile applications would be if you had a practical and concise, hands-on guide to visual design. Visual Usability gets into the nitty-gritty of applying visual design principles to complex application design.You’ll learn how to avoid common mistakes, make informed decisions about application design, and elevate the ordinary. We’ll review three key principles that affect application design – consistency, hierarchy, and personality – and illustrate how to apply tools like typography, color, and layout to digital application design. Whether you’re a UI professional looking to fine-tune your skills, a developer who cares about making applications beautiful and usable, or someone entirely new to the design arena, Visual Usability is your one-stop, practical guide to visual design.

  • Digital Outcasts

    Moving Technology Forward without Leaving People Behind
    • 1st Edition
    • Kel Smith
    • English
    The blind person who tries to make an online purchase. The young girl who cannot speak due to a cognitive disability. The man confined to his home due to permanent injury. The single mother with a long-term illness who struggles to feed her family.With one in seven people worldwide currently living with a disability, the term "outcast" covers numerous scenarios. Digital outcasts rely on technology for everyday services that many people take for granted. However, poorly designed products risk alienating this important (and growing) population.Through a "grass roots" approach to innovation, digital outcasts are gradually taking action to transform their lives and communities. This emerging trend provides exciting learning opportunities for all of us.Citing real-world case studies from healthcare to social science, this book examines the emerging legal and cultural impact of inclusive design.

  • Managing Data in Motion

    Data Integration Best Practice Techniques and Technologies
    • 1st Edition
    • April Reeve
    • English
    Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.

Browse by Publisher