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Introduction to Redshift

via DataCamp

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Details

Go to class

Provider

DataCamp
Pricing

Free Trial Available
Languages

English
Certificate

Certificate Available
Effort

4 hours
Sessions

Self-Paced
Level

Intermediate

Found in

Overview

Uncover the foundations of Amazon Redshift and its integration within the AWS cloud ecosystem, along with its position among competitors.

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.

Syllabus

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.

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.

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.

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.