What you’ll learn
- Getting Started with Amazon Redshift using AWS Web Console
- Copy Data from s3 into AWS Redshift Tables using Redshift Queries or Commands
- Develop Applications using Redshift Cluster using Python as Programming Language
- Copy Data from s3 into AWS Redshift Tables using Python as Programming Language
- Create Tables using Databases setup on AWS Redshift Database Server using Distribution Keys and Sort Keys
- Run AWS Redshift Federated Queries connecting to traditional RDBMS Databases such as Postgres
- Perform ETL using AWS Redshift Federated Queries using Redshift Capacity
- Integration of AWS Redshift and AWS Glue Catalog to run queries using Redshift Spectrum
- Run AWS Redshift Spectrum Queries using Glue Catalog Tables on Datalake setup using AWS s3
- Getting Started with Amazon Redshift Serverless by creating Workgroup and Namespace
- Integration of AWS EMR Cluster with Amazon Redshift using Serverless Workgroup
- Develop and Deploy Spark Application on AWS EMR Cluster where the processed data will be loaded into Amazon Redshift Serverless Workgroup
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