Description
The Data Warehousing on AWS course focuses on leveraging Amazon Redshift, a petabyte-scale data warehouse service in AWS, to develop an effective cloud-based Data Warehousing System. Throughout the course, participants will gain exposure to principles, techniques, and best practices for building and optimising data warehouses in the cloud.
By enrolling in this course, you will learn how to harness the power of various AWS services to gather, store, and prepare data for your data warehouse. Services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3 will be explored, enabling you to understand their roles in the data warehousing process. These services provide scalable and reliable solutions for data ingestion, storage, and transformation, enhancing the overall efficiency of your data warehouse.
Moreover, the course covers how to effectively analyze the data within your data warehouse using Amazon QuickSight. QuickSight offers intuitive and interactive visualization capabilities that empower users to gain valuable insights from their data.
Throughout the course, you will not only learn about the individual services but also understand how they integrate and work together to create a comprehensive data warehousing solution on AWS. The course emphasises best practices to ensure optimal performance, scalability, and security of your data warehouse.
Interactive Training with Zoom
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Audience
Database Architects
Database Administrators
Database Developers
Data Analysts
Data Scientists
Did you know? According to Global Knowledge's 2022 IT Skills and Salary Report, AWS Certified Solutions Architect - Associate was one of the top-paying IT certifications, with an average salary of over $130,000.
Prerequisites
Enrolled on AWS Technical Essentials course
Knowledge of relational databases
Knowledge of database design concepts
"The ones who are crazy enough to think they can change the world, are the ones that do." - Steve Jobs
Deliverables
Understand the fundamental principles of data warehousing and how big data solutions and data warehousing connect
Launch an Amazon Redshift cluster and construct a cloud data warehouse using its components, features, and capabilities
Contribute to the data warehousing solution by leveraging other AWS data and analytical services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis and Amazon S3
Understand data warehouse’s design
Recognise performance problems, improve queries, and tune the database for improved performance
To analyze data directly from an Amazon S3 bucket, utilise Amazon Redshift Spectrum
Perform data analysis and visualisation tasks against the data warehouse using Amazon QuickSight
Earn a Certificate
Earn a certificate to showcase your skills on LinkedIn, enhancing your professional credibility.
"Cloud training initiatives can have a return on investment of up to 2–6x." - Source: ACG: The ROI of Cloud Training
