Overview
Learn how to integrate Amazon Redshift with a data lake to support analytics and machine learning workloads to reduce your time to data insight by building a data analytics solution using Amazon Redshift.
- Build a data analytics solution using Amazon Redshift, a cloud data warehouse service.
- Learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads.
- Apply security, performance, and cost management best practices to the operation of Amazon Redshift.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
Skills Covered
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
Who Should Attend
This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.
Course Curriculum
Prerequisites
Students with a minimum one-year experience managing data warehouses will benefit from this course. We recommend that attendees of this course have:
- Completed either AWS Technical Essentials or Architecting on AWS
Completed Building Data Lakes on AWS
Course Modules
Exam & Certification
AWS Certified Data Analytics – Specialty (DAS-C01) – (RETIRED)
This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data.
Earning this cloud certification shows:
- Ability to define AWS data analytics services and understand how they integrate with each other
- Knowledge of how AWS data analytics services fit in the data life cycle of collection, storage, processing, and visualization
While this certification has retired, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our top AWS Certifications for 2025 and start building the skills that matter today.
