AWS Big Data Blog

Expertise validation in AWS data analytics with AWS Certification

AWS Training and Certification now has a new exam version for the AWS Certified Data Analytics – Specialty certification, which validates expertise in designing, building, and maintaining analytics solutions that are efficient, cost-effective, and secure.

The new exam version includes updated content across all domains: collection, storage and data management, processing, analysis and visualization, and security. Earning AWS Certified Data Analytics – Specialty shows that you meet the standard set by AWS data analytics experts.

This certification was previously named AWS Certified Big Data – Specialty. The new name highlights the breadth of the data and analytics technical skills and experience that this certification validates.

This credential helps your organization innovate faster by finding and developing validated expertise, so you can be confident that your team has both the breadth and depth to deliver insights from data. Rob Koch, lead architect at S&P Global, says, “Unlocking the value behind data is crucial to any organization. It is important to strategize our abilities to access and analyze data for a specific purpose, be it for a new product, enhancing an existing product, or discovering a new connection between two disparate datasets.” Koch is also an AWS Data Hero, which is a worldwide group of IT leaders and educators with a shared passion for analytics, database, and blockchain technologies.

AWS Certifications highlight your role-based and specific technical skills to help you stand out and get noticed by colleagues and organizational leaders. AWS Certified Data Analytics – Specialty shows your ability to define AWS data analytics services and understand how they work together throughout the data life cycle. Koch, who has earned Foundational, Associate-level, and Specialty AWS Certifications, encourages professionals with expertise in data analytics services to pursue this credential. Koch says, “This certification will give your peers the confidence of working with someone who can help provide ideal architectural scenarios leveraging the right cloud technologies, while meeting business needs.”

Who should take the exam?

Candidates should have 2 years of hands-on experience working with AWS to design, build, secure, and maintain analytics solutions, and 5 years of general experience working with data analytics technology. For a comprehensive list of recommended knowledge and experience, see the AWS Certified Data Analytics – Specialty exam guide.

How should I prepare for the exam?

If you’re new to data analytics on AWS or looking to add to your skills, AWS offers resources to help you build expertise and prepare for AWS Certification exams, such as recommended AWS whitepapers and FAQs. For more information, see Prepare for Your AWS Certification Exam. You can also follow the AWS Data Analytics Learning Path, which includes the 3-day classroom course Big Data on AWS and the digital courses Data Analytics Fundamentals and Exam Readiness: AWS Certified Data Analytics – Specialty.

Resources for organizations

Are you a leader within your organization looking to challenge your team to meet the standard set by AWS experts? AWS Training and Certification offers the resources you need to develop your team, innovate in the cloud, and transform your organization. You can take advantage of comprehensive training plans and AWS certification exam vouchers for your team.

Getting AWS certified

As of this writing, you can schedule the AWS Certified Data Analytics – Specialty certification exam to take from your home or office, or at available testing centers worldwide, for $300. A practice exam is also available for $40.

Learn more about this certification, or schedule your exam today.

About the Authors

Beth Shepherd is the Product Marketing Manager for AWS Certification. She joined Amazon in 2019 and is based in Boston.




Imtiaz (Taz) Sayed is the World Wide Tech Leader for Data Analytics at AWS.