Build a Data Warehouse in AWS

Data Warehouse in AWS is a hands-on course designed to help you master the fundamentals of Amazon Redshift and cloud-based data warehousing. This course provides practical knowledge to help you build, manage, and optimize data warehouses using AWS services. Throughout the course, you will explore core AWS data warehousing concepts, work with real-world data, and learn how to use Amazon Redshift for scalable, high-performance analytics. By the end of this course, you will be able to: - Explore and understand the concepts of AWS Services used for Data Warehousing in AWS. - Gain proficiency in creating and managing IAM users and groups, understanding IAM policies and roles, and applying this knowledge in practical, hands-on scenarios. - Differentiate between traditional and cloud storage, operate Simple Storage Service, and understand various storage classes and versioning in AWS S3. - Gain a solid understanding of Amazon Redshift and effectively utilize it for data warehousing needs. - Effectively set up and managed a data warehouse using Amazon Redshift. - Develop a thorough understanding and practical expertise in implementing ETL (Extract, Transform, Load) processes in Amazon Redshift. - Acquire knowledge on monitoring and optimizing the performance of Amazon Redshift environments. This course is designed for Data Engineers, Cloud Solution Architects, Data Analysts, Database Administrators (DBAs), Software Developers, and Engineers seeking to explore the AWS Data Warehouse and its applications. Prior working experience with RDBMS, SQL, and AWS is recommended but optional for this course. Begin an educational journey to learn about the Data Warehouse in AWS and its concepts for handling and analyzing large volumes of data

• Configure and manage Amazon Redshift clusters, IAM roles, and secure storage
• Integrate Redshift with S3, Redshift Spectrum, and AWS Glue for ETL workflows
• Optimize, scale, and monitor Redshift clusters with best practices
• Connect BI tools to Redshift for reporting and insights

• Basic familiarity with topic terminology
• Willingness to engage in hands-on exercises