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AWS Certified DevOps Engineer - Professional
AWS Certified DevOps Engineer – Professional is designed for experienced IT professionals who want to automate, deploy, and manage applications on AWS. Learn CI/CD, infrastructure as code, monitoring, security, and DevOps best practices through hands-on training. Ideal for learners preparing for the AWS Certified DevOps Engineer – Professional certification.
Data engineers should understand processing requirements and select technologies that provide the required scalability and performance.
Database and Data Store Selection
AWS provides multiple database technologies, and selecting the correct one is an important responsibility for data engineers.
Relational databases can be suitable for structured transactional data, while NoSQL databases can support flexible schemas and high-scale applications.
Data engineers may also work with analytical data stores, object storage, caching systems, and specialized databases.
The right choice depends on data structure, access patterns, scalability, consistency, latency, performance, and cost.
Data Quality
Data quality directly affects analytics and business decisions. Incorrect, incomplete, duplicated, or outdated data can produce misleading results.
Data engineers should establish processes for validating data and identifying quality problems.
Data quality checks can be integrated into pipelines to detect missing values, unexpected formats, duplicate records, or abnormal data patterns.
Automated validation improves reliability and reduces the amount of manual data checking required.
Security and Data Protection
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