Professional Certificate in Data Pipeline Design and Development
-- ViewingNowThe Professional Certificate in Data Pipeline Design and Development is a vital course for those seeking to excel in the data-driven economy. This program focuses on teaching learners how to design, build, and maintain efficient data pipelines, which are essential for data analysis and machine learning.
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⢠Data Pipeline Architecture: Introduction to data pipeline concepts, components, and best practices. Examining different pipeline architecture styles and designs.
⢠Data Pipeline Orchestration Tools: Hands-on experience with popular orchestration tools like Apache Airflow, AWS Step Functions, and Google Cloud Composer.
⢠Data Integration Techniques: Understanding data integration patterns, ETL/ELT processes, data quality, and data governance.
⢠Data Pipeline Security: Implementing security best practices, encryption, authentication, authorization, and access control.
⢠Data Pipeline Scalability: Designing pipelines for horizontal and vertical scalability, performance optimization, and cost management.
⢠Data Pipeline Monitoring & Alerting: Implementing monitoring and alerting strategies to ensure data pipeline availability and resilience.
⢠Data Pipeline Testing & Validation: Techniques for testing, validating, and debugging data pipelines.
⢠Data Pipeline Automation: Automating data pipeline deployment, testing, and maintenance using CI/CD and GitOps practices.
⢠Case Studies in Data Pipeline Design: Discussing real-world examples and best practices in data pipeline design and development.
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