Hari Pranav A
Hari Pranav A
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AWS
A DevOps approach to building, Scalable Cloud-Native Data Engineering Applications
DevOps on the Cloud offers great flexibility for developers to collaborate on projects using native tools. In this blog post, we will be setting up a CI/CD pipeline on AWS for scalable deployment of ML applications/ Data Engineering Pipelines.
Last updated on Jul 9, 2022
11 min read
DataEngineering
,
Architecture
,
DevOps
,
AWS
,
ML
Building Data Engineering Pipelines on AWS
Creating data pipelines from a custom front end to interact with AWS and to visualize the same using Quicksight
Last updated on Feb 21, 2022
4 min read
DataEngineering
,
AWS
,
MachineLearning
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