Sold by: KORNERSTONE LIMITED
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.
Sold by: KORNERSTONE LIMITED
Overview
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
Highlights
- - The First Authorised Training Partner of AWS with full license in HK
- - The Most Training Schedules delivered by AWS Authorized Instructors (AAI) and AAI Champion - Best Price Guaranteed
- - Trained over 50,000 talents in Asia
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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For upcoming schedules or other AWS training enquiries, please contact Kylin Chan at +852 2116 5586 or kylin.chan@kornerstone.com