Conclusion and References

Explore a comprehensive conclusion summarizing key Bash shell commands and data analysis techniques covered in this course. Learn about major Big Data tools and access detailed references to deepen your understanding and support continued learning.

We'll cover the following...

References *
- Bash
- REGEX
- AWK
- SED
- GREP
- Big data
- Companion books

Thank you for joining us!

Through each lesson, I have covered a some commands, analyzed some data, but most importantly, asked a few interesting questions and used command line tools to answer them. I’ve also introduced with a concise beginner friendly guide to the big data landscape including an overview of the critical Big Data tools such as HDFS, MapReduce, YARN, Flume, Hive and more.

With all the topics we discussed, you are now be well-equipped to do some data analysis of your own!

References #

Bash #

Linuxconfig.org Bash Scripting Tutorial*
Bash guide on Greg’s wiki
Steve Parker’s shell scripting guide
Advanced Bash Scripting Guide (ABS)

...

1.Course Introduction

2.Project 1: Analyzing the 'US News' University Ranking Data

3.Project 2: Facebook Data Mining

4.Project 3: Australian Cities Crime Statistics

5.Project 4: Shakespearean-era plays and poems data mining

6.Bash Tutorials

7.REGEX Tutorials

8.AWK Tutorials

9.SED, GREP and Find Tutorials

10.Beyond the Text Files! Enter into the Big Data Landscape - Concepts

11.Conclusion

Conclusion and References

References #

Bash #