AWS Redshift Fundamentals
Master AWS Redshift with our comprehensive course! Learn data warehousing, cluster deployment, query optimization, and advanced capabilities for career success in cloud data analytics.
Included In This Course
Closed Captions
Certificate of Completion
Course Description for AWS Redshift Fundamentals
Unlock the power of data warehousing with “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.
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.
What You Will Learn in AWS Redshift Fundamentals
Gain practical skills and knowledge to leverage Amazon Redshift effectively. 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.
Exam Objectives for AWS Redshift Fundamentals
This course does not directly prepare for a specific certification. However, it aligns with foundational and advanced AWS skills that are beneficial for certifications like AWS Certified Database – Specialty or AWS Certified Solutions Architect.
Who This AWS Redshift Fundamentals Course is For
Designed for data professionals and IT specialists, this course is ideal for individuals seeking to enhance their data warehousing skills using Amazon Redshift.
- Database administrators and data architects.
- Data analysts and data engineers.
- IT professionals transitioning to cloud-based data solutions.
- Business intelligence specialists aiming to improve data insights.
- Developers working with large-scale data sets and analytics.
Possible Jobs You Can Get With This Knowledge
The skills gained in this course open doors to various high-demand roles in cloud computing and data analytics. Potential job opportunities include:
- Cloud Data Engineer
- Database Administrator
- Data Architect
- Business Intelligence Analyst
- Cloud Solutions Architect
- Data Analytics Consultant
Average Industry Salaries for AWS Redshift Skills
Professionals skilled in AWS Redshift are in high demand, with lucrative salaries across roles. Here’s an overview:
- Cloud Data Engineer: $100,000 – $140,000 annually
- Database Administrator: $90,000 – $120,000 annually
- Data Architect: $110,000 – $150,000 annually
- Business Intelligence Analyst: $85,000 – $115,000 annually
- Cloud Solutions Architect: $120,000 – $160,000 annually
- Data Analytics Consultant: $100,000 – $130,000 annually
Get Started Today with AWS Redshift Fundamentals
Don’t miss the opportunity to master AWS Redshift and transform your data career! Enroll in “AWS Redshift Fundamentals” today and gain the skills needed to optimize data operations and analytics in any organization.
Start your journey to becoming a data warehousing expert with Amazon Redshift—enroll now!
Blogs of Interest Related to This Course
Proudly DisplayYour Achievement
Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.AWS Redshift Fundamentals Course Content
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
AWS Redshift Fundamentals Course Content
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
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Your Training Instructor
Joe Holbrook has been in the IT field since 1993 when he was exposed to several HPUX systems on board a U.S. Navy flagship. He has migrated from UNIX world to Storage Area Networking(SAN), Enterprise Virtualization, Cloud Architectures, and now specializing in Blockchain and Cryptocurrency. He previously worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis.net, Chematch.com, SAIC and Siemens Nixdorf.
Currently he works as a Subject Matter Expert specializing in Enterprise Cloud and Blockchain Technologies. He is the CLO of Techcommanders.com Elearning and consulting, He holds numerous IT certifications from AWS, GCP, HDS and other organizations.
He is an avid speaker and well-known course author residing in Jacksonville, Florida.
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Smooth delivery and easy access to LMS. Good to see that the LMS offers progress tracking. Would be great if badges were offered on completion of courses to share via Credly to future employers.