Personal Reading List: 2Q2017
My personal reading list for April, May, and June 2017.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
Migrating to Microservice Databases: From Relational Monolith to Distributed Data, by Edson Yanaga, O'Reilly, 2017. Copy provided by Red Hat.
Pricing Done Right: The Pricing Framework Proven Successful by the World's Most Profitable Companies, by Tim J. Smith, Wiley (Bloomberg Press), 2016. Copy provided by Wiglaf Pricing consultant Kyle Thompson-Westra on behalf of Wiglaf Pricing founder and CEO Tim J. Smith.
Spring Microservices, by Rajesh RV, Packt Publishing, 2016.
At Bat (Langsam)
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.
Python Machine Learning, by Sebastian Raschka, Packt Publishing, 2015.
Python Machine Learning Cookbook, by Prateek Joshi, Packt Publishing, 2016.
On Deck
Cloud Data Warehousing for Dummies, by Joe Kraynak, John Wiley & Sons Inc., 2017. Copy provided by Snowflake.
Crucial Conversations: Tools for Talking When Stakes are High, by Kerry Patterson, Joseph Grenny, Ron McMillan, and Al Switzler, McGraw-Hill Education, 2012. Copy provided by Centric Consulting.
Containerized Docker Application Lifecycle with Microsoft Platform and Tools, by Cesar de la Torre, Microsoft, 2016. Copy provided by Microsoft.
Fast Data: Smart and At Scale: Design Patterns and Recipes, by Ryan Betts and John Hugg, O'Reilly, 2015. Copy provided by O'Reilly.
Fast Data Architectures for Streaming Applications: Getting Answers Now from Data Sets that Never End, by Dean Wampler PhD, O'Reilly, 2016. Copy provided by O'Reilly.
.NET Microservices: Architecture for Containerized .NET Applications, by Cesar de la Torre, Bill Wagner, and Mike Rousos, Microsoft, 2017. Copy provided by Microsoft.
In the Hole
Cassandra: The Definitive Guide (Second Edition), by Jeff Carpenter and Eben Hewitt, O'Reilly, 2016.
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.