Personal Reading List: 3Q2016
My personal reading list for July, August, and September 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.
Embedding Analytics in Modern Applications: How to Provide Distraction-Free Insights to End Users, by Courtney Webster, O'Reilly, 2016. Copy provided by O'Reilly.
Future Value Generation: Do You Need to Create New Business Logics?, by Daniel Egger, CreateSpace, 2016. Copy provided by author Daniel Egger.
The Last Mile of Analytics: Making the Leap from Platforms to Tools, by Mike Barlow, O'Reilly, 2015. Copy provided by O'Reilly.
Making Sense of Stream Processing: The Philosophy Behind Apache Kafka and Scalable Stream Data Platforms, by Martin Kleppmann, O'Reilly, 2016. Copy provided by O'Reilly.
At Bat (Langsam)
On Deck
Graph Databases: New Opportunities for Connected Data (Second Edition), by Ian Robinson, Jim Webber, and Emil Eifrem, O'Reilly, 2015. Copy provided by Neo4j.
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.
In Search of Database Nirvana: The Challenges of Delivering Hybrid Transaction/Analytical Processing, by Rohit Jain, O'Reilly, 2016. 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.