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The Best AWS Data Engineering Course - AWS Data Engineering training

Visualpath is a trusted name in AWS Data Engineering Course, offering in-depth learning with real-time experts and hands-on project experience. Our AWS Data Engineering training is designed to build strong practical knowledge and boost interview confidence. Enjoy 24 by 7 recorded session access from anywhere in the world. Call 91 7032290546 to enroll today.<br>Google Form Link : https://forms.gle/eeEnmKRnRujmT2Dq5<br>WhatsApp: https://wa.me/c/917032290546<br>Visit: https://www.visualpath.in/online-aws-data-engineering-course.html<br>

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The Best AWS Data Engineering Course - AWS Data Engineering training

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  1. ETL Workflows in AWS: A Practical Guide +91-7032290546 www.visualpath.in

  2. Introduction to ETL on AWS • Beyond Traditional ETL: Shift from monolithic tools to cloud-native workflows • Data as a Product: Treat data pipelines as scalable, reusable assets • AWS Advantage: Elastic infrastructure and automation for every ETL stage • Focus of This Guide: Hands-on strategies to build robust ETL in AWS +91-7032290546 www.visualpath.in

  3. Key AWS Services for ETL • AWS Glue: Serverless ETL orchestration & transformation • Amazon S3: Data lake storage and staging layer • Amazon Redshift: High-performance data warehousing • AWS Lambda: Event-driven processing and triggers +91-7032290546 www.visualpath.in

  4. Designing ETL Architecture on AWS • Define data sources and destinations • Plan transformations: filtering, joining, cleansing • Leverage Glue crawlers to catalog source data • Choose batch vs. streaming based on use case +91-7032290546 www.visualpath.in

  5. Building ETL Jobs with AWS Glue • Create Glue Jobs using PySpark or • visual ETL editor • Use Glue Studio for low-code job authoring • Schedule jobs using triggers and workflows • Debug and test jobs with built-in monitoring +91-7032290546 www.visualpath.in

  6. Data Transformation Best Practices • Use Glue DynamicFrames for schema flexibility • Optimize transformations for performance • (e.g., partitioning) • Incorporate business logic in the transformation • layer • Cleanse data before loading to downstream • systems +91-7032290546 www.visualpath.in

  7. Orchestration & Workflow Automation • Use AWS Glue Workflows for job sequencing • Integrate Step Functions for complex orchestration • Monitor workflows using CloudWatch & Glue logs • Enable notifications via SNS for job status updates +91-7032290546 www.visualpath.in

  8. Security & Cost Optimization • Use IAM roles to control access to ETL components • Encrypt data at rest (S3, Redshift) and in transit • Optimize Glue job costs by choosing right worker type • Clean up unused resources to avoid unexpected charges +91-7032290546 www.visualpath.in

  9. Real-World Use Case + Wrap-Up Example: Retail company ETL pipeline for customer insights Flow: Ingest → Transform (Glue) → Load (Redshift) Key benefits realized: speed, scalability, cost savings Recap & key takeaways for designing ETL in AWS +91-7032290546 www.visualpath.in

  10. Take Action – Enroll Today! · Don’t miss the chance to future-proof your career. · secure your spot now! · Visit https://www.visualpath.in/online-data-science-with-generative-ai-course.htmlto register today. +91-7032290546 www.visualpath.in

  11. Thank Youwww.visualpath.in +91-7032290546 www.visualpath.in

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