Overview
Learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift.
The Data Warehousing on AWS course introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This popular AWS training demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2023 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
Free AWS Training Events:
- Cloud Migration and Data Innovation with AWS (24 May 2024)
- Shift and Shape Your Cloud with AWS (21 June 2024)
Skills Covered
This course teaches you how to:
- Discuss the core concepts of data warehousing.
- Discuss the intersection between data warehousing and big data solutions.
- Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud.
- Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution.
- Evaluate approaches and methodologies for designing data warehouses.
- Identify data sources and determine requirements for accessing the data.
- Architect the data warehouse.
- Use important commands, such as COPY, UNLOAD, and VACUUM, to manage the data in the data warehouse.
- Identify performance issues, optimize queries, and tune the database for better performance
- Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket.
- Use features and services, such as Amazon Redshift database auditing, Amazon CloudWatch, Amazon CloudTrail, and Amazon Simple Notification Service (Amazon SNS), to monitor and audit the data warehouse.
- Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.
Who Should Attend
- Database architects
- Database administrators
- Database developers
- Data analysts and scientists
Course Curriculum
Prerequisites
We recommend that attendees of this course have the following prerequisites:
- Completion of AWS-TE: AWS Technical Essentials (or equivalent experience with AWS)
- Familiarity with relational databases and database design concepts
Course Modules
Exam & Certification
This course is not associated with any Certification.