Personal Reading List: 3Q2018
My personal reading list for July, August, and September 2018.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
Building Evolutionary Architectures: Support Constant Change, by Neal Ford, Rebecca Parsons, and Patrick Kua, O'Reilly, 2017. Copy provided by O'Reilly.
Designing Event-Driven Systems: Concepts and Patterns for Streaming Services with Apache Kafka, by Ben Stopford, O'Reilly, 2018. Copy provided by O'Reilly.
High Performance In-Memory Computing with Apache Ignite, by Shamim Bhuiyan, Michael Zheludkov, and Timur Isachenko, Lulu.com, 2017.
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark, by Holden Karau and Rachel Warren, O'Reilly, 2017.
Introducing Istio Service Mesh for Microservices, by Christian Posta and Burr Sutter, O'Reilly, 2018. Copy provided by Red Hat.
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.
On Deck
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.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
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.
Kafka: The Definitive Guide, by Neha Narkhede, Gwen Shapira, and Todd Palino, O'Reilly, 2017. Copy provided by Confluent.
Spark: The Definitive Guide, by Bill Chambers and Matel Zaharla, O'Reilly 2018. Copy provided by O'Reilly.