Data Warehousing on AWS (DA - Step 4)

Overview

Overview

Duration 3 days
Course Time 9.00am - 5.00pm
Enquiry Click here to contact us

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

Key Takeaways

At the end of this course, the participants 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

Who Should Attend

This course is targeted at:

  • Database Architects
  • Database Administrators
  • Database Developers
  • Data Analysts
  • Data Scientists

Prerequisites

We recommend that attendees of this course have the following prerequisites:

  • Taken AWS Technical Essentials (or equivalent experience with AWS)
  • Familiarity with relational databases and database design concepts

ICT and SS Competency Framework

ICT and SS Competency Framework

As part of the ICTCF, this course falls under the Apps Management, Data Science & AI functional cluster and tagged to the following competencies:
  • Apps Management: Cloud Application Architecture
  • Data Science & AI: Data Systems Architecture
  • Data Science & AI: Charts & Dashboards
The course is mapped to the following job roles:
  • Apps Infrastructure Architect
  • Infrastructure Architect
  • Data Engineer
  • Digital Business Analyst
  • Solutions Architect
  • Digital Services Manager (DSM)

Course Structure

Course 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

 


Instructors

Instructors


Fees

Fees


Full Fee

Full course fee

S$2,295

7% GST on nett course fee

S$160.65

Total nett course fee payable, including GST S$2,455.65

 

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

Upcoming Classes

Class 1

Duration: 3 days

01 Nov 2022 to 03 Nov 2022 (Full Time)

When :
Nov:
01, 02, 03

Time : 9.00am - 5.00pm
Registration:

How To Register

How To Register


Agency-sponsored

Step 1 Apply through your organisation's training request system.

Step 2 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.


Step 3 The Digital Academy will inform you whether you have been successful in enrolment.