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Name: Sudhir Gupta
Type: User
Company: Amazon Web Services
Bio: Principal Solutions Architect - Databases and Analytics Specialist
Location: Seattle, WA
Name: Sudhir Gupta
Type: User
Company: Amazon Web Services
Bio: Principal Solutions Architect - Databases and Analytics Specialist
Location: Seattle, WA
Examples to get you started with Amazon Redshift ML
Become a hero quickly with this crash course on Amazon Redshift architecture and quick start environments. Learn tips and best practices for using infrastructure as code for a variety of Amazon Redshift deployment patterns that are commonly used by other customers. Presentations coupled with hands-on labs reinforce the patterns presented so that you can achieve success quickly.
In this workshop you will launch an Amazon Redshift cluster in your AWS account and load sample data ~ 100GB using TPCH dataset. You will learn query patterns that affects Redshift performance and how to optimize them. In this lab we will also provide a framework to simulate workload management (WLM) queue and run concurrent queries in regular interval and measure performance metrics- query throughput, query duration etc. We will also provide some use cases for Redshift spectrum to query data from s3 in columnar format such as Parquet.
Automate Redshift cluster creation with best practices using AWS CloudFormation
Data Analytics Week at the AWS Loft
Data Warehouse Migration to Amazon Redshift using AWS SCT
Glue python Shell to build Redshift workflow
AWS Quick Start Team
AWS Quick Start Team
AWS Quick Start Team
This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.
Redshift Lab
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