Personal Reading List: 4Q2018
My personal reading list for October, November, and December 2018.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
Common Errors in Statistics and How to Avoid Them (Fourth Edition), by Phillip I. Good and James W. Hardin, Wiley, 2012.
Practical Hive: A Guide to Hadoop's Data Warehouse System, by Scott Shaw, Andreas Francois Vermeulen, Ankur Gupta, and David Kjerrumgaard, Apress, 2016.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
At Bat (Langsam)
Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst, by Dean Abbott, Wiley, 2014. Copy provided by Amazon.
Kafka: The Definitive Guide, by Neha Narkhede, Gwen Shapira, and Todd Palino, O'Reilly, 2017. Copy provided by Confluent.
On Deck
Apache NiFi for Dummies, by Christopher Gambino, Dan Rice, Joseph Niemiec, Mark Johnson, and Jordan Martz, Wiley, 2018. Copy provided by Hortonworks and Attunity.
Building Evolutionary Architectures: Support Constant Change, by Neal Ford, Rebecca Parsons, and Patrick Kua, O'Reilly, 2017. Copy provided by O'Reilly.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, by Aurélien Géron, O'Reilly, 2017. Copy provided by O'Reilly.
In the Hole
Designing Autonomous Teams and Services: Deliver Continuous Business Value through Organizational Alignment, by Nick Tune and Scott Millett, O'Reilly, 2017. Copy provided by O'Reilly.
Introducing Istio Service Mesh for Microservices, by Christian Posta and Burr Sutter, O'Reilly, 2018. Copy provided by Red Hat.