Mastering Amazon Redshift and Serverless for Data Engineers

Mastering Amazon Redshift and Serverless for Data Engineers

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

How to Enroll Mastering Amazon Redshift and Serverless for Data Engineers course?

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