A comprehensive roadmap of AWS certifications tailored for data engineers focusing on big data architecture. This list outlines the progression from foundational cloud knowledge to specialized expertise in data lakes, streaming, and large-scale analytical processing.
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The primary certification for data engineers, focusing on data ingestion, transformation, orchestration, and storage. It validates expertise in using AWS Glue, Amazon Redshift, and Amazon S3 to build scalable data pipelines and ensure data quality.
Provides the essential foundation for understanding how big data services integrate within a broader cloud ecosystem. It covers VPCs, security, and compute resources, which are critical for deploying secure and resilient big data clusters.
An advanced credential for those designing complex, multi-tier big data architectures. This certification focuses on optimizing cost, performance, and reliability for massive datasets across global infrastructure using sophisticated design patterns.
While transitioned into the Data Engineer Associate, legacy knowledge of this specialty remains vital. It emphasizes deep dives into EMR, Kinesis, and Athena for processing petabytes of data in real-time and batch modes.
Crucial for data engineers building the pipelines that feed ML models. It covers data engineering for ML, including feature engineering and the use of Amazon SageMaker to deploy scalable predictive analytics.
The entry-level starting point for those new to the cloud. It introduces basic AWS terminology and the shared responsibility model, providing the necessary context before diving into complex data engineering services.
Focuses on the operational side of big data, such as monitoring pipeline health and managing resource scaling. It is highly valuable for engineers managing self-managed Hadoop or Spark clusters on EC2.
Ideal for data engineers who write custom Lambda functions or use the AWS SDK to interact with data services. It emphasizes serverless computing and API integration for modern data orchestration.