Professional Training · Data & Analytics Track
Building Data Lakes on AWS
A one-day course on planning and building data lakes with AWS Lake Formation. It works through the methodology behind data lake design, the components and services a lake needs, how to secure it with appropriate permissions, and how data is ingested, stored and transformed before being queried, analysed and visualised, covering both manual and automated build paths.
Authorised Instructor
Hui Liang
Chief Digital Officer
- Data Engineer – Associate
- Security – Specialty
- Generative AI Developer – Professional
- Solutions Architect – Professional
- +5 more
This class is delivered by our AWS Authorised Instructor for this specialisation. Trainers confirmed on enrolment.
Who Should Attend
- Data Platform Engineers: Engineers building and maintaining data lakes.
- Solutions Architects: Architects designing storage and analytics foundations.
- IT Professionals: Technical staff supporting analytics infrastructure.
Prerequisites
This is an intermediate course. To get the most from it, you should have:
Completion of AWS Technical Essentials, or an equivalent working knowledge of core AWS services.
One year of experience building data analytics pipelines, or completion of the Data Analytics Fundamentals digital course.
Learning Objectives
In this course, you will learn to:
Plan a data lake: Apply data lake methodologies when designing the solution.
Identify the components: Articulate the services required to build a data lake on AWS.
Secure the lake: Apply appropriate permissions and access controls.
Move data through: Ingest, store and transform data within the lake.
Get value out: Query, analyse and visualise the data the lake holds.
Certification
A MY Code Campus certificate of completion is awarded for Building Data Lakes on AWS.
In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.
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