Orchestrate an ETL Pipeline you own this product

prerequisites
Familiarity with AWS services and console • Knowledge of the Python programming language • Basic understanding of AWS Step Functions and their usage in orchestrating data pipelines • Basic understanding of AWS Glue workflows and their usage in data processing pipelines • Familiarity with AWS CloudWatch and its usage in monitoring data pipelines.
skills learned
Using AWS Step Functions and AWS Glue workflows to orchestrate data pipelines • Automating infrastructure using CloudFormation • Monitoring data in a data pipeline.
Gianluigi Mucciolo
1 week · 4-6 hours per week · INTERMEDIATE
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Look inside

Nextstellar Corp needs you to tackle a big challenge: completing their cloud migration by rebuilding their historical data lake as a data layer in the cloud. You’ll implement an effective and automated data orchestration framework for the ingestion and transform and curate layers, using best practices for Infrastructure-as-Code to automate your data layer. Finally, you’ll establish a monitoring system that will automatically alert you to any issues or problems that might crop up.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Gianluigi Mucciolo

prerequisites

This liveProject is for engineers who want to build a data lake lambda architecture using AWS fully managed services. You will need to know:


TOOLS
  • Basics of the Linux console
  • Basics of AWS
  • Basics of the AWS console
  • Basics of the AWS CLI

TECHNIQUES
  • Basics of infrastructure automation
  • Basics of big data Lambda architecture

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