What to Read After Learning Spark: Lightning-Fast Big Data Analysis
Readers who loved Learning Spark: Lightning-Fast Big Data Analysis by Holden Karau keep reaching for these 24 books. This list is built from where Learning Spark: Lightning-Fast Big Data Analysis 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 Learning Spark: Lightning-Fast Big Data Analysis
Big Data
Elasticsearch
Graph Databases
Mining of Massive Datasets
The Art of Readable Code
NoSQL Distilled
Erlang and OTP in Action
An Introduction To Statistical Learning With Applications In R
Tmux
97 Things Every Programmer Should Know
Programming Collective Intelligence
Mastering Regular Expressions
The Linux Command Line
Cracking the Coding Interview
Growing Object-oriented Software, Guided by Tests
Thinking in Java
Effective C++
Data Science for Business
Head First design patterns
Structure and Interpretation of Computer Programs (SICP)
Introduction to Algorithms
The Mythical Man-Month
Effective Java
How to Solve It