Personal Reading List: 3Q2020
My personal reading list for July, August, and September 2020.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
Burn-In: A Novel of the Real Robotic Revolution, by P. W. Singer and August Cole, Houghton Mifflin Harcourt, 2020. Copy provided by Amazon.
The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page, Basic Books, 2018.
At Bat (Langsam)
Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho, O'Reilly, 2015.
Learning Spark (Second Edition), by Jules S. Damji, Brooke Wenig, Tathagata Das, and Denny Lee, O'Reilly, 2020. Copy provided by Databricks.
On Deck
Apache Oozie: The Workflow Scheduler for Hadoop, by Mohammad Kamrul Islam and Aravind Srinivasan, O'Reilly, 2015.
Apache Sqoop Cookbook, by Kathleen Ting and Jarek Jarcec Cecho, O'Reilly, 2013.
Getting Started with Impala: Interactive SQL for Apache Hadoop, by John Russell, O'Reilly, 2015.
In the Hole
Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith, by Sam Newman, O'Reilly, 2020. Copy provided by Nginx.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
Presto: The Definitive Guide, by Matt Fuller, Manfred Moser, and Martin Traverso, O'Reilly, 2020. Copy provided by Starburst.