Build a Data Warehouse in AWS

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Build a Data Warehouse in AWS

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1mo ago
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.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Zero Sum Problems and Apple Sports
Learn to identify and tackle zero sum problems in data visualization, crucial for effective information design
Daring Fireball
When Your Data Chooses Itself: The Problem Tobit Doesn’t Solve
Learn about the limitations of Tobit regression in handling self-selected data and its implications for data science
Medium · Data Science
From Messy Kitchen to Five-Star Restaurant: Jupyter Notebooks vs. Modular Coding in VSCode
Learn how Jupyter Notebooks and VSCode's modular coding approach impact your coding workflow and problem-solving strategy
Medium · AI
From Messy Kitchen to Five-Star Restaurant: Jupyter Notebooks vs. Modular Coding in VSCode
Learn how Jupyter Notebooks and VSCode's modular coding approach impact your problem-solving strategy and code organization
Medium · Data Science
Up next
Trial Balance to Financial Reporting
Coursera
Watch →