Book

Practical Big Data Analytics

Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of this book, you will have a clear understanding of how you can develop your own Big Data analytics solutions using different tools and methods.

Offered by

Difficulty Level

Intermediate

Completion Time

13h44m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 13h44m total length

1. Too Big Or Not Too Big

2. Big Data Mining For The Masses

3. The Analytics Toolkit

4. Big Data with Hadoop

5. Big Data Mining with NoSQL

6. Spark for Big Data Analytics

7. An Introduction to Machine Learning Concepts

8. Machine Learning Deep Dive

9. Enterprise Data Science

10. Closing thoughts on Big Data

11. Appendix- External Data Science Resources

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