From RDS to Redshift: Connecting MySQL Workbench and Loading S3 Data into Redshift скачать в хорошем качестве

From RDS to Redshift: Connecting MySQL Workbench and Loading S3 Data into Redshift

Bridge the gap between Transactional (RDS) and Analytical (Redshift) data workflows! 🚀 In this tutorial, we wrap up our AWS Data Series by showing you how to interact with your structured data using both Graphical User Interfaces (GUIs) and massive-scale data warehouses. We move from managing individual database connections to performing complex analytical queries on a Redshift Cluster. In this video, you will learn: ✅ RDS GUI Connection: Step-by-step guide to connecting your RDS MySQL instance to MySQL Workbench using public endpoints. ✅ Amazon Redshift Fundamentals: Introduction to the "Performance Cloud Data Warehouse" and its role in OLAP (Online Analytical Processing). ✅ Provisioning a Redshift Cluster: Choosing node types (RA3.large), configuring clusters, and setting up admin credentials. ✅ IAM Roles for Redshift: Creating a "Customizable Redshift Role" to grant S3 read access for seamless data transfers. ✅ The S3 to Redshift COPY Command: How to move retail CSV data from an S3 bucket directly into Redshift tables using SQL. ✅ Running SQL Analytics: Executing real-world queries for total sales by month, top customers by spending, and order status tracking using Query Editor v2. Key Technical Takeaways: Differentiating between OLTP (RDS) and OLAP (Redshift). Troubleshooting IAM permissions during cluster setup. Handling headers and CSV formats in Redshift COPY commands. Aggregating Petabyte-scale historical data for business intelligence.