Overview
This course is delivered by Amazon Web Services (AWS).
Data Warehousing on AWS 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 course demonstrates how to collect, store, and prepare data for the data warehouse by using 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.
This course includes presentations, group exercises, and hands-on labs.
Key Takeaways
At the end of this programme, you will be able to:
- Discuss the core concepts of data warehousing, and 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
- Architect 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 Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse
Who Should Attend
- Please refer to the job roles on the left.
- ICT&SS Professionals in Database Architects, Database Administrators, Database Developers, Data Analysts and Data Scientists roles.
Prerequisites
We recommend that you have the following prerequisites:
- Taken AWS Technical Essentials (or equivalent experience with AWS)
- Familiarity with relational databases and database design concepts
Programme Structure
This course is delivered virtually and will cover the following topics:
- Module 1: Introduction to Data Warehousing
- Module 2: Introduction to Amazon Redshift
- Module 3: Launching clusters
- Module 4: Designing the database schema
- Module 5: Identifying data sources
- Module 6: Loading data
- Module 7: Writing queries and tuning for performance
- Module 8: Amazon Redshift Spectrum
- Module 9: Maintaining clusters
- Module 10: Analyzing and visualizing data
Fees
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Full Fee
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Full course fee
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S$2,295
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8% GST on nett course fee
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S$183.60
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| Total nett course fee payable, including GST |
S$2,478.60 |
With effect from 1 Jan 2023 till 31 Dec 2023
NOTE
This course does not include the certification exam voucher. Participants who are interested to take the certification exam after completing this course, please contact the WorkDay Team (GovTech) or directly with Pearson VUE and PSI via the Amazon Website.
Payment for this course is to Xtremax Pte. Ltd
Upcoming Classes
Class 1
31 Jul 2023 to 02 Aug 2023 (Full Time)
Duration: 3 days
When:
Jul - 31Aug - 01, 02
Time : 9.00am - 5.00pm
Class 2
27 Nov 2023 to 29 Nov 2023 (Full Time)
Duration: 3 days
When:
Nov - 27, 28, 29
Time : 9.00am - 5.00pm
How To Register
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Step 1
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Apply through your organisation's training request system. |
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Step 2
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Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the course.
Your organisation will send registration information to the academy.
Organisation HR L&D or equivalent staff can click here for details of the registration submission process.
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Step 3
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GovTech Digital Academy will inform you whether you have been successful in enrolment.
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