Personal Reading List: 3Q2019
My personal reading list for July, August, and September 2019.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics, by Thomas W. Dinsmore, Apress, 2016.
The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page, Basic Books, 2018.
At Bat (Langsam)
AWS Certified Solutions Architect Associate All-in-One Exam Guide (Exam SAA-C01), by Joyjeet Banerjee, McGraw-Hill Education, 2018.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
On Deck
Thinking Architecturally: Lead Technical Change Within Your Engineering Team, by Nathaniel Schutta, O'Reilly, 2018. Copy provided by Pivotal.
Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI, by Ben Lorica and Paco Nathan, O'Reilly, 2019. Copy provided by O'Reilly.
In the Hole
Getting DataOps Right, by Andy Palmer, Michael Stonebraker, Nik Bates-Haus, Liam Cleary, and Mark Marinelli, O'Reilly, 2019. Copy provided by Tamr.
Machine Learning at Enterprise Scale: How Real Practitioners Handle Six Common Challenges, by Piero Cinquegrana and Matheen Raza, O'Reilly, 2019. Copy provided by Qubole.