This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse solution that uses columnar storage to minimise IO, provides high data compression rates, and offers fast performance. This GitHub project provides a series of lab exercises which help users get started using the Redshift platform. It also helps demonstrate the many features built into the platform.
| # | Lab Name | Lab Description |
|---|---|---|
| 1 | Creating Redshift Clusters | Cluster setup and connectivity with SQL Workbench/J |
| 2 | Data Loading | Table creation, data load, and table maintenance |
| 3 | Table Design & Query Tuning | Setting distribution and sort keys, deep copy, explain plans, system table queries |
| 4 | Modernize Your Data Warehouse with Amazon Redshift Spectrum | Query petabytes of data in your data warehouse and exabytes of data in your S3 data lake, using Redshift Spectrum |
| 5 | Query Redshift from Amazon RDS PostgreSQL | JOIN Amazon Redshift AND Amazon RDS PostgreSQL WITH dblink |
This sample code is made available under the MIT-0 license. See the LICENSE file.
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