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Books in Database management

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51-60 of 161 results in All results

Big Data Analytics

  • 1st Edition
  • August 23, 2013
  • David Loshin
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 7 3 1 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 8 6 6 4 - 4
Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise.

Implementing Analytics

  • 1st Edition
  • May 6, 2013
  • Nauman Sheikh
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 0 1 6 9 6 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 4 0 1 6 8 1 - 1
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
  • May 2, 2013
  • Krish Krishnan
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 0 5 8 9 1 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 4 0 5 9 2 0 - 7
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.

Managing Data in Motion

  • 1st Edition
  • February 26, 2013
  • April Reeve
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 3 9 7 1 6 7 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 7 7 9 1 - 5
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.

Computation and Storage in the Cloud

  • 1st Edition
  • December 31, 2012
  • Dong Yuan + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 0 7 7 6 7 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 4 0 7 8 7 9 - 6
Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications

Introduction to Electronic Document Management Systems

  • 1st Edition
  • December 2, 2012
  • Bozzano G Luisa
  • English
  • eBook
    9 7 8 - 0 - 3 2 3 - 1 4 0 6 2 - 1
Introduction to Electronic Document Management Systems provides an in-depth overview of the technology of electronic document management using modern electronic image processing. It will prove to be a key source of information for management and technical staff of organizations considering a transformation from traditional micrographics-based document storage and retrieval systems to new electronic document capture systems. It will also be useful for those organizations considering improving productivity through electronic management of large volumes of data records.

Databases for Production Management

  • 1st Edition
  • December 2, 2012
  • R. Companys + 2 more
  • English
  • eBook
    9 7 8 - 0 - 4 4 4 - 5 9 8 7 8 - 3
Dealing with many aspects of the design, implementation and operation of databases for production management systems, this book presents research that is important to all those presently concerned with the computerisation of production management.

Data Insights

  • 1st Edition
  • November 13, 2012
  • Hunter Whitney
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 3 8 7 7 9 3 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 7 7 9 4 - 9
Data Insights: New Ways to Visualize and Make Sense of Data offers thought-provoking insights into how visualization can foster a clearer and more comprehensive understanding of data. The book offers perspectives from people with different backgrounds, including data scientists, statisticians, painters, and writers. It argues that all data is useless, or misleading, if we do not know what it means.Organized into seven chapters, the book explores some of the ways that data visualization and other emerging approaches can make data meaningful and therefore useful. It also discusses some fundamental ideas and basic questions in the data lifecycle; the process of interactions between people, data, and displays that lead to better questions and more useful answers; and the fundamentals, origins, and purposes of the basic building blocks that are used in data visualization. The reader is introduced to tried and true approaches to understanding users in the context of user interface design, how communications can get distorted, and how data visualization is related to thinking machines. Finally, the book looks at the future of data visualization by assessing its strengths and weaknesses. Case studies from business analytics, healthcare, network monitoring, security, and games, among others, as well as illustrations, thought-provoking quotes, and real-world examples are included.This book will prove useful to computer professionals, technical marketing professionals, content strategists, Web and product designers, and researchers.

Agile Data Warehousing Project Management

  • 1st Edition
  • September 28, 2012
  • Ralph Hughes
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 3 9 6 4 6 3 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 6 5 1 7 - 2
You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing” might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious “data mart.” Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse.

Data Governance

  • 1st Edition
  • July 27, 2012
  • John Ladley
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 7 8 4 8 - 6
This book is for any manager or team leader that has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. With the provided framework and case studies you will be enabled and educated in launching your very own successful and money saving data governance program.