Overview
| Duration |
1 day |
| Course Time |
9.00am - 5.00pm |
| Enquiry |
Click here to contact us
|
This course is delivered by Amazon Web Services (AWS).
In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.
This course includes presentations, lecture, hands-on labs, and group exercises.
Key Takeaways
At the end of this course, the participants will be able to:
- Apply data lake methodologies in planning and designing a data lake
- Articulate the components and services required for building an AWS data lake
- Secure a data lake with appropriate permission
- Ingest, store, and transform data in a data lake
- Query, analyze, and visualize data within a data lake
Who Should Attend
This course is targeted at:
- Data platform engineers
- Solutions architects
- IT professionals
Prerequisites
We recommend that attendees of this course have the following prerequisites:
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 Collection
- Data Science & AI: Data Systems Architecture
- Data Science & AI: Data Pipeline Setup
- Data Science & AI: Charts & Dashboards
The course is mapped to the following job roles:
- Infrastructure Engineer
- Infrastructure Architect
- Data Engineer
- Digital Business Analyst
- Solutions Architect
- Digital Services Manager (DSM)
Course Structure
This course is delivered virtually and will cover the following topics:
- Module 1: Introduction to data lakes
- Module 2: Data ingestion, cataloging, and preparation
- Module 3: Data processing and analytics
- Module 4: Building a data lake with AWS Lake Formation
- Module 5: Additional Lake Formation configurations
- Module 6: Architecture and course review
Instructors
Fees
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Full Fee
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Full course fee
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S$765
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7% GST on nett course fee
|
S$53.55
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| Total nett course fee payable, including GST |
S$818.55 |
With effect till 31 Dec 2022
|
Full Fee
|
|
Full course fee
|
S$765
|
|
8% GST on nett course fee
|
S$61.20
|
| Total nett course fee payable, including GST |
S$826.20 |
With effect from 1 Jan 2023 till 31 Dec 2023
NOTE
There is currently no certification exam tagged to this course.
Payment for this course is to Xtremax Pte. Ltd
Upcoming Classes
Class 1
Duration: 1 day
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06 Mar 2023 to 06 Mar 2023 (Full Time)
When :
Time : 9.00pm - 5.00pm
Registration:
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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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The Digital Academy will inform you whether you have been successful in enrolment.
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