Managing Data in Motion: Data Integration Best Practice Techniques and Technologies

by April Reeve

"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 typesExplains, 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

300 pages, Kindle Edition

First published January 1, 2013

Reviews

[Joe · Rating 2 out of 5]

Overly broad. Feels like you're reading someone describing data architecture, but that person is only allowed to speak in generalities and buzzwords. The book could have really benefited from some case studies.

The best part was the author's various interviews with experts at the ends of some chapters. Most of them seemed like the interviewee was trying to sell something at a conference, which helped me understand how this book may have come together.

Not recommended unless you want to get an understanding of how people are using buzzwords in the data world. Even then, it's a slog.

[Fausto Betances · Rating 4 out of 5]

Good explanation of basic concepts. Great simplification of complex terminology.

This is a good book for managers and decision makers. It provides current information and ideas on the ins and outs of data management and integration.

It has plenty of useful definitions and explanations however It does not provide deep technical details.

[David · Rating 3 out of 5]

It was a good read. Not too technical, but with enough technical detail to explain the background. Kind of a primer as the book covers very large area. Bit repetitive. I read through the entire book. Came away with a good overall picture of data architecture. Also, next set of data topics to read.