Personal Reading List: 1Q2016

My personal reading list for January, February, and March 2016.

Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.


At Bat (Schnell)


Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst, by Dean Abbott, Wiley, 2014. Copy provided by Amazon.

Common Errors in Statistics and How to Avoid Them (Fourth Edition), by Phillip I. Good and James W. Hardin, Wiley, 2012.

Stars-4-0._V192240704_The JHipster Mini-Book, by Matt Raible, C4Media (Publisher of InfoQ.com), 2015. Copy provided by InfoQ.com.


At Bat (Langsam)


 


On Deck


Stars-4-0._V192240704_Building Real-Time Data Pipelines: Unifying Applications and Analytics with In-Memory Architectures, by Conor Doherty, Gary Orenstein, Steven Camina, and Kevin White, O'Reilly, 2015. Copy provided by O'Reilly.

D3.js in Action, by Elijah Meeks, Manning Publications, 2015.

Data Visualization with D3 and AngularJS, by Christoph Körner, Packt Publishing, 2015.

Hadoop Application Architectures: Designing Real World Big Data Applications, by Mark Grover, Ted Malaska, Jonathan Seidman, and Gwen Shapira, O'Reilly, 2015. Copy provided by O'Reilly.

Real-World Hadoop, by Ted Dunning and Ellen Friedman, O'Reilly, 2015. Copy provided by O'Reilly.


In the Hole


A Little Riak Book 2.0, by Eric Redmond and John Daily, Basho, 2014. Copy provided at Strange Loop 2014 by Craig Vitter, solutions architect at Basho Technologies.

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