Managing Data in Motion
Data Integration Best Practice Techniques and Technologies
By April Reeve
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: February 2013
Pages: 204

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.



  • Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types
  • Explains, in non-technical terms, the architecture and components required to perform data integration
  • Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"
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oreillyManaging Data in Motion
 
3.0

(based on 3 reviews)

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2.0

Needs more examples

By Sam

from Cambridge, MA

About Me Information Design, Information Management

Pros

  • Comprehensive

Cons

  • Needs More Examples

Best Uses

    Comments about oreilly Managing Data in Motion:

    I really wanted to like this book more than I did. I think it's clear that the author has a great grip on the subject matter, but the descriptions and explanations were without examples, and left things too vague to be helpful. It would be better to talk about a specific example type of data in each chapter (social media data, financial transaction data, etc.), or a specific type of situation (you have minute by minute energy utility data and can't query it quick enough, so your warehouse it in larger chunks), when explaining the concepts in the book, rather than just explaining the concepts.

    There are sections with interviews which I think were supposed to help with this, but I found the questions too leading to return useful answers.

    I also found the diagrams to be of low enough quality in the epub version that they were hard to read.

    I think there's a lot that could be added to this book to make it more useful. Right now it seems like more of a technical outline; it needs more real world examples to breath life into it.

     
    4.0

    my review of "managing data in motion"

    By WD

    from jakarta, indonesia

    About Me Sys Admin

    Verified Reviewer

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Expert

      Comments about oreilly Managing Data in Motion:

      i use this book to learn more about data practices cause my IT dept is a mess, not well structured.

       
      3.0

      General Overview

      By ecomware

      from USA

      About Me Developer

      Verified Reviewer

      Pros

        Cons

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            Comments about oreilly Managing Data in Motion:

            This is an unusal book that almost certainly deserves 2 or 4 stars. It is strangely redundant, like a reference book with chapters not meant to be read successively. Yet, it is strangely practical in a way totally unlike a reference book, as it offers insight into more abstract functional roles such as data profiler. Read What this book is about [...] within the introduction to get a sense of what you're in for. One complaint about the e-resource (pdf): The table of contents does not link to the chapters.

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