Congratulations

1. Congratulations

Congratulations on completing the course! That's a huge accomplishment. Let's look at all that you've learned.

2. Architecture and Data

We delved into the architecture of Redshift, exploring different cluster node types and understanding how queries execute. We also discussed Redshift Spectrum and external schemas. Moving on to data types, we covered standard types, semistructured data using the super type, and various type conversion techniques.

3. Queries, Performance and Security

Common Table Expressions, time-traveling date functions, and window functions for analysis, including Lead and Lag, were all a part of our review of Redshift SQL. Then, we shifted to performance and security, focusing on optimizing queries for speed, troubleshooting performance issues, and implementing column-level and row-level security measures, including data masking.

4. Tables and Views

We also leveraged many system tables and views to see details about our running Redshift environment. Here is a cheatsheet of them.

5. Next Steps

If you want to learn more about Redshift, check out the AWS Redshift immersion labs that cover loading data and machine learning with Redshift and dive even deeper into Redshift Spectrum. Additionally, if you want to learn more about transactions and error handling, I've got a course about them that also applies to Redshift.

6. Thank you and Congratulations!

I'm thankful you made me part of your learning journey. We learned so much together, and I'm grateful for the time you invested in this course.

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