- As you've seen, Spark is a powerful data science platform.…The new capabilities that Spark offers…are enabling entirely new ways to analyze data,…and we're completing those…at an even faster pace than before.…Now that you know how to analyze data in Spark…with Python and with Spark SQL,…how to build machine-learning regression models,…and how to setup streaming jobs,…you can start delivering next-level analytics…to your users today.…The journey isn't over, however.…There are many more ways and more platforms…that you're going to need to master…before becoming a true data Jedi.…
For example, I recommend checking out…some additional courses here:…SQL Tips and Tricks for Data Science,…Analyzing Big Data with Hive,…and Data Analysis on Hadoop.…With the skills you've learned here…and that you'll get in these additional courses,…you're well on your way to becoming…a powerful data professional.…Feel free to connect with me online as well,…and thank you for watching this course.…I'll see you back here next time.…
- Understanding Spark
- Reviewing Spark components
- Where Spark shines
- Understanding data interfaces
- Working with text files
- Loading CSV data into DataFrames
- Using Spark SQL to analyze data
- Running machine learning algorithms using MLib
- Querying streaming data
- Connecting BI tools to Spark
Skill Level Intermediate
1. Introducing Apache Spark
2. Analyzing Data in Spark
3. Using Spark SQL to Analyze Data
4. Running Machine Learning Algorithms Using MLlib
5. Real-Time Data Analysis with Spark Streaming
6. Connecting BI Tools to Spark
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