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Mastering CI/CD for Data Engineering: A Complete Guide to Automated Data Pipelines (2024)
The article provides a comprehensive guide to implementing CI/CD practices in data engineering, transforming manual processes into automated pipelines through version control, automated testing, deplo
yment, and monitoring. This modernization leads to dramatic improvements in reliability, efficiency, and collaboration, with real-world examples showing significant reductions in incidents and deployment times.

Reasons to Read -- Learn:

  • how to reduce production incidents by up to 92% and cut deployment times from days to minutes through practical CI/CD implementation strategies in data engineering
  • detailed, phased approach to implementing CI/CD over 6 months, with specific steps for foundation building, automation, and optimization of data pipelines
  • proven solutions to common CI/CD challenges, including cultural resistance, complex dependencies, and data quality concerns, backed by real-world case studies from Netflix, healthcare, and e-commerce companies
  • publisher: @datainsights17
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