
Empower Clients Through IT
IT EXPERT SYSTEM, INC
IT Training, Staffing and IT Services Provider
Amazon Redshift
This course provides a complete understanding of Amazon Redshift, AWS’s fully managed cloud data warehouse. Students will learn how to design, build, manage, and scale Redshift clusters, optimize performance, manage security, and integrate Redshift with BI and ETL tools. The course includes hands-on labs, real-world projects, and interview preparation to build job-ready skills for Data Engineering, Analytics, and Cloud roles.
Course Content
Module 1: Introduction to Amazon Redshift
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What is Amazon Redshift?
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Key Features of Redshift
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Redshift vs Traditional Data Warehouses
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Redshift Use Cases & Benefits
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Redshift Architecture Overview
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Columnar Storage & MPP (Massively Parallel Processing)
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Redshift Ecosystem & Integrations
Module 2: Redshift Architecture & Core Concepts
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Cluster Architecture – Leader Node & Compute Nodes
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Node Types (RA3, DC2)
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Workload Management (WLM)
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Data Distribution Styles (KEY, EVEN, ALL)
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Sort Keys & Primary Keys Concepts
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Redshift Spectrum Overview
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Pricing Model & Cost Optimization Basics
Module 3: Setting Up Redshift
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Creating and Configuring a Redshift Cluster
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VPC, Subnets, Security Groups, IAM Roles
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Connecting to Redshift – Query Editor, DBeaver, SQL Workbench/J
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Configuring Database Users, Roles & Permissions
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Parameter Groups & Maintenance Configuration
Module 4: Redshift SQL Fundamentals
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Redshift SQL Basics
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Creating Databases, Schemas & Tables
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INSERT, UPDATE, DELETE, SELECT
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COPY Command Introduction
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UNLOAD Command
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Using Temporary Tables
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Working with Views & Materialized Views
Module 5: Data Loading & ETL in Redshift
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Data Loading Methods
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COPY from S3
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COPY from DynamoDB
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COPY from Amazon EMR
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Preparing Data Files for COPY
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Understanding Compression Encodings
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Using COPY options (JSON, CSV, Parquet, gzip, manifests)
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Redshift Spectrum: Querying Data in S3
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Data Transformation Techniques
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ETL Tools Integrations:
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AWS Glue
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Lambda
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Kinesis
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Informatica, Talend
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Module 6: Performance Optimization
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Choosing the Right Distribution Key
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Choosing the Right Sort Key
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Vacuuming & Analyzing Tables
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Data Skew & Query Skew Handling
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Using EXPLAIN for Query Tuning
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Concurrency Scaling
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RA3 Storage & Redshift Managed Storage
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Result Caching
Module 7: Advanced Redshift Features
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Redshift Serverless
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Federated Queries to RDS/Aurora
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Materialized Views Refresh Strategy
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Data Sharing Across Clusters
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Lakehouse Architecture with Redshift
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Partner Integrations: QuickSight, Tableau, Power BI
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Cross-Region Snapshot Copy


Module 8: Redshift Security & Compliance
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Encryption: At Rest, In Transit
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IAM Role Best Practices
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Network Security & PrivateLink
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Redshift Audit Logging
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Access Control – Users, Groups, Roles
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Compliance: HIPAA, PCI, GDPR
Module 9: Monitoring & Maintenance
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CloudWatch Metrics
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Redshift Console Monitoring
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Performance Insights
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System Tables & Logs
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Automated Backups & Snapshots
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Resize & Pause/Resume Clusters
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Managing Workload with WLM Queues
Module 10: Redshift with BI & Analytics
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Connecting Redshift to Power BI
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Connecting Redshift to Tableau
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Connecting Redshift to QuickSight
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Creating Dashboards & Reports
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Real-Time Analytics (Kinesis + Redshift)
Module 11: Real-World Projects
Staffing Support
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Resume Preparation
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Mock Interview Preparation
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Phone Interview Preparation
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Face to Face Interview Preparation
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Project/Technology Preparation
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Internship with internal project work
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Externship with client project work
Our Salient Features:
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Hands-on Labs and Homework
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Group discussion and Case Study
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Course Project work
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Regular Quiz / Exam
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Regular support beyond the classroom
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Students can re-take the class at no cost
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Dedicated conf. rooms for group project work
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Live streaming for the remote students
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Video recording capability to catch up the missed class
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