Strategies to edit production data

lasr21 — Fri, 16 Mar 2018 05:59:13 +0000

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Data Day 2018

lasr21 Thu, 03/15/2018 - 23:59

Conferencista(s)

Julie Qiu

SG4W

Strategies to edit production data from Software Guru

At some point, we all find ourselves at a SQL prompt making edits to the production database. We know it’s a bad practice, and we always intend to put in place safer infrastructure before we need to do it again, but what does a better system actually look like?

This talk progresses through 5 strategies for teams using a Python stack to do SQL writes against a database, to achieve increasing safety and auditability:

Raw SQL queries
Local one-off scripts
Deploy and run scripts from an application server
Run scripts from Jenkins with command line arguments
Build a Script Runner application

We’ll talk about the pros and cons of each strategy, and help you determine which one is right for your specific needs.

By the end of this talk, you’ll be ready to start upgrading your infrastructure for making changes to your production database safely!

Acerca del conferencista

Julie is a senior software engineer at Spring. She has led projects to improve search performance, personalize the user shopping experience, and ingest real time product updates at scale. She graduated from Yale University with a degree in Cognitive Science and currently lives in New York City.

Julie Qiu

Strategies to edit production data

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Conferencista(s)