Overview of the CompTIA DataX Exam
CompTIA DataX targets data engineers and analytics architects by validating expertise in end-to-end data lifecycle management within cloud-native environments. Candidates must demonstrate proficiency in executing ETL/ELT pipelines using Apache Spark, Kafka, and Airflow while leveraging SQL and NoSQL databases like PostgreSQL, MongoDB, and Amazon DynamoDB. The curriculum mandates architectural competency in cloud data warehouses including Snowflake and Google BigQuery alongside integration of containerized workflows using Docker and Kubernetes. Furthermore, examinees must apply Python and R for data manipulation, implement CI/CD for automated data delivery, and maintain robust data governance frameworks to ensure pipeline scalability, security, and schema integrity across distributed systems.