Remove bitbucket
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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

To tackle these asks, this post defines the development lifecycle for data integration and demonstrates how software engineers and data engineers can design an end-to-end development lifecycle using AWS Glue, including development, testing, and CI/CD, using a sample baseline template.

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The DataOps Vendor Landscape, 2021

DataKitchen

ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Terraform – Open-source infrastructure as code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. . Liquibase — Database release automation for software development teams. Production Monitoring Only.

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How DataOps Kitchens Enable Version Control

DataKitchen

To use software dev terminology, DataOps supports continuous integration, continuous delivery, and continuous deployment. Continuous deployment is an automated process that builds, tests, and deploys software automatically. Git is a popular one, and DataKitchen can interface with an array of Git platforms (GitHub, BitBucket, GitLab).

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The dark arts of digital transformation — and how to master them

CIO Business Intelligence

For example, while running the Bitbucket team at Atlassian, Etkin managed to persuade the company founders to abandon their favored distributed version control system (Mercurial) in favor of Git, which represented 80% of the market. The head of trading then asked him to develop software to onboard newly recruited traders more quickly.