Mastering Amazon Redshift and Serverless for Data Engineers
Last Updated on May 13, 2023
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
