Thinking meta about data
Big Data, Little Data, No Data: Scholarship in the Networked World by Christine L. Borgman
I found the survey of data practices in different fields fascinating. It's long. But you have to understand how we got here, what works, what doesn't. You can't do that without thorough research, which this book has in spades.
I thoroughly recommend this book for data professionals. Early career researchers in all fields should also skim through this book and learn the research data norms of their particular field (lest they break the social norms and tank their career before it starts).
Glut: Mastering Information through the Ages by Alex Wright
Raw Data Is an Oxymoron edited by Lisa Gitelman
Doing Data Science: Straight Talk from the Frontline by Cathy O'Neil and Rachel Schutt
A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences by Johnny Lin
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython By Wes McKinney
R Cookbook By Paul Teetor