After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Uncover the foundations of Amazon Redshift and its integration within the AWS cloud ecosystem, along with its position among competitors.
Mastering Redshift SQL Constructs
Dive deep into Redshift SQL constructs, including common table expressions, date-time handling, and advanced analytics queries, empowering efficient data manipulation.Efficient Data Management and Optimization
Explore data management techniques in Redshift, from creating tables to distributing and sorting data, along with optimizing queries for enhanced performance.Enhancing Security and Advanced Capabilities
Delve into Redshift's security features and advanced capabilities, including leveraging external schemas for raw data files and extracting insights from semi-structured data like JSON.Commanding SQL on Redshift
Develop a strong command of SQL on Redshift, enabling effective utilization and maximizing its potential within your data ecosystem.Prerequisites
Curriculum
Course outline
1
Redshift, a data warehouse
Meet Redshift, a robust columnar data warehouse. We'll explore how columnar and typical data warehouses differ, what makes Redshift unique, how it fits into the AWS and data warehouse ecosystems, and what data types it supports.
- Meet Redshift, a columnar database50 XP
- Columnar or Row-Based100 XP
- Find what schema a table is in50 XP
- Learning about Redshift data types and features50 XP
- Experimenting with compatible types100 XP
- Redshift types50 XP
- Explicitly converting types100 XP
- Inside the Redshift warehouse50 XP
- Node types and responsibilities100 XP
- Predicates50 XP
- Leader specific functions100 XP
2
SQL on Redshift
Let's learn about some nuances with Redshift SQL syntax, a close cousin of PostgreSQL's syntax. We compare CTEs and subqueries before moving into mastering date and time, exploring window queries, and wrapping up learning how transactions affect some functions.
3
Tables and working with semi-structured data
We'll explore how to create tables, the impact DISTKEY and SORTKEYs have on performance, external schemas/tables with Spectrum and wrap up with handling semi-structured data like JSON with Redshift.
4
Optimization and Security
It is time to peak into the world of writing optimized queries and tools available to help optimize. Then, we turn our attention to Redshift security capabilities and how they can impact query output.
S
Introduction to Redshift
Course
Complete
