Mastering Spark for Data Science

Table of Contents

1. The Big Data Science Ecosystem
2. Data Acquisition
3. Input Formats and Schema
4. Exploratory Data Analysis
5. Spark for Geographic Analysis
6. Scraping Link Based External Data
7. Building Communities
8. Building a Recommendation System
9. News Dictionary and Real Time Tagging System
10. Story Deduplication and Mutation
11. Anomaly Detection on Sentiment Analysis
12. TrendCalculus
13. Secure Data
14. Scalable Algorithms