Data Engineering Software Engineering Testing 
The Netflix TechBlog
DECEMBER 14, 2023
Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr.
DZone
FEBRUARY 20, 2023
In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.
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The Netflix TechBlog
JUNE 1, 2021
Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?
The Netflix TechBlog
NOVEMBER 20, 2023
IPS enables users to continue to use the data processing patterns with minimal changes. Introduction Netflix relies on data to power its business in all phases. Users configure the workflow to read the data in a window (e.g. data arrives too late to be useful). past 3 hours or 10 days).
O'Reilly
FEBRUARY 2, 2020
On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation. This has important implications for testing. In the last two decades, a tremendous amount of work has been done on testing and building test suites.
O'Reilly
JULY 15, 2020
Success with microservices means owning the software lifecycle. Most (74%) respondents say their teams own the build-test-deploy-maintain phases of the software lifecycle. Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1).
Abhishek Tiwari
JULY 20, 2019
Over specialisation is considered good in industries such as healthcare and aviation but in software engineering over specialisation can be a blocker. Unlike healthcare and aviation where practices don't change over the decades, software technology is changing every day. product) don't change over a long period. Probably yes.
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