Increasing agility with NoSQL - Making Sense of NoSQL - page 206

Almost all NoSQL systems demonstrate excellent scale-out architecture for opera-
tional agility. Simple architectures that drive complexity out of the process enable
agility in many areas. Our evidence shows that both key-value stores and document
stores can provide huge gains in developer agility if applied to the right use cases.
Native XML systems that work with web standards also work well with other agility-
enhancing systems and empower nonprogrammers.
This is the last of our four chapters on building NoSQL solutions for specific types
of business problems. We've focused on big data, search, high availability, and agility.
Our next chapter takes a different track. It'll challenge you to think about how you
approach problem solving, and introduce new thinking styles that lend themselves to
parallel processing. We'll then wrap up with a discussion on security before we look at
the formal methods of system selection.

9.6 Further reading

 Henbury, Cheshire. “The Problem.” http://mng.bz/9I9e .
 “Hibernate (Java).” Wikipedia. http://mng.bz/tEr6 .
 Hodges, Nick. “Developer Productivity.” November 2012. http://mng.bz/6c3q .
 Hugos, Michael. Business Agility . Wiley, 2009. http://mng.bz/6z3I .
 ——— “IT Agility Means Simple Things Done Well, Not Complex Things Done
Fast.” CIO , International Data Group, February 2008. http://mng.bz/dlzN .
 “JSON Processing Using XQuery.” Progress Software. http://mng.bz/aMkn .
 TechValidate. 10gen, MongoDB, productivity chart. March 2012.
http://mng.bz/gH0M .
 “JSON Processing Using XQuery.” Progress Software. http://mng.bz/aMkn .
 Robie, Jonathan. “JSONiq: XQuery for JSON, JSON for XQuery.” 2012 NoSQL
Now! Conference. http://mng.bz/uBSe .
 “Ruby on Rails.” Wikipedia. http://mng.bz/7q73 .