This picture originally posted here covers the following topics:

1. Basic stack
2. Integrated platforms
3. Visualization
4. Data formats
5. Large & out-of-memory data
6. Hadoop
7. Glue
8. As backend
9. GPU
10. in-database analytics
11. Parallel
12. Efficiency
13. Packages

To zoom in, view picture in the original article, or click on picture. The original article also provides a detailed listing of all the 100+ entities listed in the picture. Anyone interested in creating a clickable link for each of these entities? For instance, entity 1.6 (in the original article) is ggplot2, while 2.1.2 is shiny server. 

Other interesting pictures worth checking out:

• Data Science Summarized in One Picture
• Machine Learning Summarized in One Picture

Top DSC Resources

• Article: Difference between Machine Learning, Data Science, AI, Deep Learnin...
• Article: What is Data Science? 24 Fundamental Articles Answering This Question
• Article: Hitchhiker's Guide to Data Science, Machine Learning, R, Python
• Tutorial: Data Science Cheat Sheet
• Tutorial: How to Become a Data Scientist - On Your Own
• Tutorial: State-of-the-Art Machine Learning Automation with HDT
• Categories: Data Science - Machine Learning - AI - IoT - Deep Learning
• Tools: Hadoop - DataViZ - Python - R - SQL - Excel
• Techniques: Clustering - Regression - SVM - Neural Nets - Ensembles - Decision Trees
• Links: Cheat Sheets - Books - Events - Webinars - Tutorials - Training - News - Jobs
• Links: Announcements - Salary Surveys - Data Sets - Certification - RSS Feeds - About Us
• Newsletter: Sign-up - Past Editions - Members-Only Section - Content Search - For Bloggers
• DSC on: Ning - Twitter - LinkedIn - Facebook - GooglePlus

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge