In-Depth Course on Amazon Redshift, Redshift Serverless, Integration with EMR, AWS Step Functions, AWS Lambda and more
Instructed by Durga Viswanatha Raju Gadiraju 16 hours on-demand video
What you’ll learn
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Getting Started with Amazon Redshift using AWS Web Console
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Copy Data from s3 into AWS Redshift Tables using Redshift Queries or Commands
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Develop Applications using Redshift Cluster using Python as Programming Language
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Copy Data from s3 into AWS Redshift Tables using Python as Programming Language
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Create Tables using Databases setup on AWS Redshift Database Server using Distribution Keys and Sort Keys
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Run AWS Redshift Federated Queries connecting to traditional RDBMS Databases such as Postgres
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Perform ETL using AWS Redshift Federated Queries using Redshift Capacity
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Integration of AWS Redshift and AWS Glue Catalog to run queries using Redshift Spectrum
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Run AWS Redshift Spectrum Queries using Glue Catalog Tables on Datalake setup using AWS s3
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Getting Started with Amazon Redshift Serverless by creating Workgroup and Namespace
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Integration of AWS EMR Cluster with Amazon Redshift using Serverless Workgroup
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Develop and Deploy Spark Application on AWS EMR Cluster where the processed data will be loaded into Amazon Redshift Serverless Workgroup
Who this course is for:
- 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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