What to Read After Big Data
Readers who loved Big Data by James Warren keep reaching for these 24 books. This list is built from where Big Data is read alongside other books across reader co-reads and book lists. The more independent sources agree on a title, the higher it ranks.
Books to read after Big Data
Learning Spark: Lightning-Fast Big Data Analysis
Mining of Massive Datasets
Real World Haskell
Functional Programming in Scala
Blockchain
Clojure Programming
Programming Erlang
Land of Lisp
Tmux
Graph Databases
Building Microservices
Working Effectively with Legacy Code
The Phoenix Project
Introduction to Algorithms
Design Patterns
JavaScript
Clean Code
Rework
Pragmatic Programmer
Fooled by Randomness
The Hard Thing About Hard Things
Flow
Zero to One
Getting Things Done