AWS Certified Data Analytics — Specialty

AWS Data Analytics Certification — Specialty

The global big data analytics market is expected to reach $346.24 billion by 2030, with a growth rate of 30.7 percent. With the rise of Generative AI, this growth is creating more opportunities for professionals in the field, such as data engineers, business analysts, and data analysts. According to Foote Partners, 141 non-certified big data skills have seen an average increase of 2 percent in market value, with skills like big data analytics, bioinformatics, and data engineering commanding pay premiums of 18 to 20 percent. The analysis report also identifies top certifications in the field, such as SAS Certified Professional: AI and Machine Learning and AWS Certified Data Analytics—Specialty, which are currently earning pay premiums of 10% above base pay.

The business world is currently inundated with data, and companies require practitioners who possess specialized skills to work with advanced data analytics technologies to extract insights. With AWS currently being the largest cloud service provider in the world with a 33% share of the market³, the AWS Certified Data Analytics specialist is an ideal candidate to meet the growing demand.

It helps if you have an analytical frame of mind and professional experience. You should posses the ability to evaluate business requirements for big data applications and have functional knowledge to build, secure, maintain, and design data analytics solutions on AWS.

This resource guide aims to provide valuable insights into the exam domains with quality resources to help you prepare effectively. For information on prerequisites, we recommend that you read our pillar article on the AWS Certification path.

Is it right for you?

This program is suitable for professionals with some business experience who have the ability to assess business needs for big data applications and possess practical knowledge to create, secure, maintain, and design data analytics solutions using AWS.

To excel in this certification, candidates should have a strong understanding of the essential tools, topics, and services required for an effective data analytics pipeline. It is crucial to know how to manage the entire data lifecycle, from collection and storage to processing and visualization. An analytical mindset is beneficial since candidates must demonstrate their ability to derive value from data using AWS services.