Course Information
Schedules
- 7 May 2025 (Wed)
Registration period
10 Mar 2025 (Mon) - 6 May 2025 (Tue)
Price
HKD 3,000
(Early Bird HK3000)
(Early Bird HK3000)
Course Level
Study Mode
Duration
1 Day(s)
Language
Cantonese
Location
2/F, Centre Point, 181 Gloucester Road, Wanchai, Hong Kong
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Course Overview
Course description
In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse
service. The course focuses on the data collection, ingestion, cataloging, storage, and processing
components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to
support both analytics and machine learning workloads. You will also learn to apply security, performance,
and cost management best practices to the operation of Amazon Redshift.
• Course level: Intermediate
• Duration: 1 day
Activities
This course includes presentations, interactive demos, practice labs, discussions, and class exercises
What You’ll Learn
Course objectives
In this course, you will learn to:
• Compare the features and benefits of data warehouses, data lakes, and modern data architectures
• Design and implement a data warehouse analytics solution
• Identify and apply appropriate techniques, including compression, to optimize data storage
• Select and deploy appropriate options to ingest, transform, and store data
• Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a
particular business use case
• Understand how data storage and processing affect the analysis and visualization mechanisms
needed to gain actionable business insights
• Secure data at rest and in transit
• Monitor analytics workloads to identify and remediate problems
• Apply cost management best practices
Skills covered in this course
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