Evolution in Data Integration From EII to Big Data
Approaches to integrating data are changing with emergence of cloud computing.
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Posted by InfoQ.com on Mar 31, 2010

This is the first edition of what is expected to become a recurring series on InfoQ. The idea behind this minibook is that a number of InfoQ articles and interviews which deal with a particular topic (in this case, REpresentational State Transfer, or REST) are combined together to provide a detailed exploration suitable for both beginners and advanced practitioners.
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This 127 page PDF compilation contains InfoQ’s best REST related content, including:
Approaches to integrating data are changing with emergence of cloud computing.
Michele Ide-Smith presents the lessons learned in the process of introducing UX principles and techniques into a large organization through a series of small steps.
Dave Farley and Martin Thompson discuss solutions for doing low-latency high throughput transactions based on the Disruptor concurrency pattern.
Rajneesh Namta shares his thoughts, experiences, and some of the critical lessons learned while implementing software test automation on a recent Agile project.
Dale Schumacher presents several patterns of actor interaction that can be used in collaborative programs written in any language.
Rúnar Bjarnason discusses Scalaz, a Scala library of pure data structures, type classes, highly generalized functions, and concurrency abstractions to perform functional programming in Scala.
One of the main challenges when designing software architecture is considering quality attributes. Not only their design turns out to be difficult, but also the specification of these attributes.
Michael Feathers analyzes real code bases concluding that code is not nearly as beautiful as designers aspire to, discussing the everyday decisions that alter the code bit by bit.