Mastering Amazon Redshift and Serverless for Data Engineers

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  • The lowest price of Mastering Amazon Redshift and Serverless for Data Engineers was obtained on October 4, 2025 9:08 pm.

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Last updated on October 4, 2025 9:08 pm
Mastering Amazon Redshift and Serverless for Data Engineers
Mastering Amazon Redshift and Serverless for Data Engineers

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Mastering Amazon Redshift and Serverless for Data Engineers

★★★★★
$74.99  in stock
Udemy.com
as of October 4, 2025 9:08 pm

In-Depth Course on Amazon Redshift, Redshift Serverless, Integration with EMR, AWS Step Functions, AWS Lambda and more

Created by: Durga Viswanatha Raju Gadiraju
CEO at ITVersity and CTO at Analytiqs, Inc
Created by: Pratik Kumar
Created by: Sathvika Dandu
Created by: Madhuri Gadiraju
Created by: Sai Varma
Created by: Phani Bhushan Bozzam
Aspiring Project Manager & Creative UI/UX Designer
Created by: Anushka Chakraborty
Rating:4.41 (320reviews)     8360students enrolled

What Will I 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

Requirements

  • A computer science or IT Degree or 1 or 2 years of IT Experience
  • Ability to write SQL Queries using any Relational or Data Warehouse or MPP Database
  • Basic Linux Skills with ability to run commands using Terminal
  • Basic Programming using Python is desired even though it is mandatory for most part of the course

Target audience

  • University Students who want to learn AWS Redshift for Data Warehousing
  • Aspiring Data Engineers and Data Scientists who want to learn about AWS Redshift for Data Warehousing
  • Experienced Application Developers who would like to explore AWS Redshift for Data Warehousing
  • Experienced Data Engineers to build end to end data pipelines using Python around Data Marts created using AWS Redshift
  • Any IT Professional who is keen to deep dive into AWS Redshift for Data Warehousing on AWS

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