My personal reading list for October, November, and December 2017.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
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.
Future Legends: Business in Hyper-Dynamic Markets, by Janka Krings-Klebe, Joachim Heinz, and Jörg Schreiner, 2017. Copy provided by author Jörg Schreiner (managing partner at co-shift GmbH), who shares mutual connection Rita Gunther McGrath (professor at Columbia Business School) - Rita reached out to Erik in March 2013 to review her book "The End of Competitive Advantage".
Kafka: The Definitive Guide, by Neha Narkhede, Gwen Shapira, and Todd Palino, O'Reilly, 2017. Copy provided by Confluent.
MongoDB in Action (Second Edition), by Kyle Banker, Peter Bakkum, Shaun Verch, Douglas Garrett, and Tim Hawkins, Manning Publications, 2016.
RabbitMQ in Depth, by Gavin M. Roy, Manning Publications, 2018.
Spring Boot Messaging: Messaging APIs for Enterprise and Integration Solutions, by Felipe Gutierrez, Apress, 2017.
The State of Data Analytics and Visualization Adoption: A Survey of Usage, Access Methods, Projects, and Skills, by Matthew D. Sarrel, O'Reilly, 2017. Copy provided by Zoomdata - Erik read this report as it was referenced by a media query to which he provided a response.
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.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, by Martin Kleppmann, O'Reilly, 2017.
Fast Data: Smart and At Scale: Design Patterns and Recipes, by Ryan Betts and John Hugg, O'Reilly, 2015. Copy provided by O'Reilly.
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.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.