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Sample project to demonstrate data engineering best practices

Home Page: https://www.startdataengineering.com/post/de_best_practices/

Makefile 12.30% Python 84.18% CSS 2.13% Dockerfile 1.39%
data-engineering delta-lake etl great-expectations minio pyspark spark

data_engineering_best_practices's Introduction

Hi ๐Ÿ‘‹

I write about data engineering | data modeling | software engineering | system design

@startdataeng

Connect with me:

@startdataeng https://linkedin.com/in/josephmachado1991/ https://www.youtube.com/channel/ucx5kgm1umefyyqfmmcluapq

Languages and Tools:

aws bash cassandra django docker elasticsearch flask git go grafana hadoop hive hugo kafka kubernetes linux mariadb mysql pandas postgresql python redis scala scikit_learn sqlite

josephmachado

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data_engineering_best_practices's Issues

Build cloud infrastructure

Description

Currently the project is only meant to be run locally, implement a solution to deploy this to the cloud.

Areas to cover

  1. Platform to use
  2. CI/CD
  3. Env variable management (w Secret managements)
  4. Cloud storage & processing.
  5. Scheduling & Orchestration.
  6. Logging, metadata & debugging

Choice of platform

Please leave a comment with your choices for areas 1 - 5 above.

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