AWS Redshift Fundamentals

This comprehensive course provides a deep dive into Amazon Redshift, one of the most robust and scalable data warehousing solutions on the market. You will explore the fundamentals of data warehouses, Amazon Redshift architecture, and its enterprise-grade features that drive data-driven decisions.

Beginner Friendly

No prior experience required.

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Flexible Learning

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Certificate

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Course Overview

This comprehensive course provides a deep dive into Amazon Redshift, one of the most robust and scalable data warehousing solutions on the market. You will explore the fundamentals of data warehouses, Amazon Redshift architecture, and its enterprise-grade features that drive data-driven decisions. Learn to deploy, manage, and optimize Amazon Redshift clusters while mastering advanced capabilities like Multi-AZ deployments, backup and recovery, and data ingestion. With hands-on exercises and real-world demos, this course equips you with the practical skills needed to harness the full potential of AWS Redshift for your organization.

Learning Outcome

Here’s what you’ll master in this course:

  • The fundamentals of data warehouses and Amazon Redshift’s architecture.
  • Key AWS benefits, limitations, and pricing structures.
  • How to deploy and manage Amazon Redshift clusters effectively.
  • Query optimization and workload management for cost efficiency.
  • Advanced capabilities, including Multi-AZ deployment, security, and networking.
  • Techniques for data ingestion, backup, and recovery using Amazon Redshift.
  • Monitoring and optimizing Redshift clusters for peak performance.

Career Opportunities

Career Pathways

What You Will Learn

Section 2: Advanced Capabilities
  • 2.1 Advanced Capabilities
  •    2.2 Deployment Options (node types, cluster options, etc.)
  •    2.3 Multi-AZ deployment with Amazon Redshift
  •    2.4 Backup and Recovery
  •    2.5 Demo -Deploy Cluster
  •    2.6 Demo – Resize Cluster
  •    2.7 Networking and Security
  •    2.8 Demo – Networking and Security
  •    2.9 HOE – Setup IAM and Deploy Cluster
  •    2.10 Whiteboard – Networking
  •    2.11 Demo – Connect to Database
  •    2.12 HOE – SQLWB
  •    2.13 Excel Connections
  •    2.14 Setting up and managing data ingestion with Amazon Redshift
  •    2.15 HOE – AWS S3 Data Load
  •    2.16 Monitoring Redshift
  •    2.17 Demo – Monitor Redshift
  •    2.18 HOE – Deploy an Amazon Redshift data warehouse cluster, load data into the cluster
  •    2.19 Amazon Redshift Spectrum
  •    2.20 Section Review
  •    2.21 Review Questions
  •    2.22 Resources
  •    2.23 Course Closeout
Introduction - AWS Redshift Fundamentals
  • Course Welcome
  •    Course Overview
  •    Course PreRequirements
Section 1: AWS Redshift Fundamentals
  • 1.1 Fundamentals of data warehouses and Amazon Redshift
  •    1.2 AWS Benefits and Limitations
  •    1.3 AWS Redshift Pricing
  •    1.4 Enterprise Use Cases
  •    1.5 Node Types
  •    1.6 Cluster Options
  •    1.7 Demo – Free Tier- Startup Credits
  •    1.8 Hands on Exercise 1 – Deploy a Cluster
  •    1.9 Whiteboard- Redshift Architecture
  •    1.10 Life of a Query
  •    1.11 Query and Cost Optimization
  •    1.12 Workload Management
  •    1.13 Whiteboard- Redshift WLM
  •    1.14 Redshift Performance Notes
  •    1.15 Column Oreiented structures
  •    1.16 Section Review
  •    1.17 Review Questions