Overview
Build batch data analytics solutions using Amazon EMR to optimize cost and performance.
- Learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service.
- Learn how Amazon EMR integrates with open source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation.
- Learn to use EMR Notebooks to support both analytics and machine learning workloads.
- Learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
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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 batch data 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 platform engineers
- Architects and operators who build and manage data analytics pipelines
Course Curriculum
Prerequisites
Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.
We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop. We recommend that attendees of this course have:
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed either Building Data Lakes on AWS or Getting Started with AWS Glue
Course Modules
Exam & Certification
AWS Certified Data Analytics – Specialty (DEA-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 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.