Delve into, the realm of logistics and supply chain data management by leveraging AWS services
Switching gears to the logistics and AWS supply chain data management domain, this blog focuses on data validation frameworks, Apache Airflow DAGs, and CI/CD implementation for seamless code deployment.
In this section, the logistics project emphasizes creating robust AWS supply chain data validation frameworks, ensuring accuracy pre-transformation. Apache Airflow DAGs play a pivotal role, orchestrating code execution using core PySpark and integrating with APIs through REST API.
Explore the dynamic configuration of EMR clusters based on data volume, efficiently handling heavy computations. AWS supply chain solutions are elevated with Redshift SQL operators for transformation processes, enhancing overall pipeline performance.
Gain insights into AWS Continuous Integration and Continuous Deployment (CI/CD) implementation using GitHub, GIT pushes, and branch cloning. This strategic approach ensures reduced downtime and increased security during and after AWS code deployment.
Achieve automation and seamless data exchange within AWS by using API call operators within DAG tasks. Detailed insights include leveraging lambda functions to trigger DAG tasks based on specific events, such as new files landing into S3 buckets.
Underlining how DAGs, within the AWS environment, write final reportable data into S3 buckets, accessible through Athena. Data quality testing, utilizing the DataBricks application with SQL capabilities, ensures the integrity of processed data, marking a successful close to the logistics project.
DataTerrain Inc, your trusted partner for AWS-enabled data excellence. Our expertise transforms logistics and supply chain processes through cutting-edge solutions, including robust data validation frameworks, Apache Airflow DAGs, and strategic CI/CD implementation. With dynamic EMR cluster configurations, Redshift SQL operators, and meticulous data quality testing, we ensure optimal performance. Choose DataTerrain Inc for seamless AWS supply chain data management, unlocking unparalleled precision in your operations.