Book

Mastering Spark for Data Science

Placing the reader in the position of a commercial data scientist, this book covers the key attributes to solve real-world problems in areas such as music, financial markets, and global news. Introducing advanced techniques in Spark, it also comprehensively explores the surrounding eco-system with innovative and scalable solutions throughout

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
18h40m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 18h40m total length

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

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