DZone

JANUARY 9, 2024

This holds true for the critical field of data engineering as well. As organizations gather and process astronomical volumes of data, manual testing is no longer feasible or reliable. Automated testing methodologies are now imperative to deliver speed, accuracy, and integrity.

Data Engineering 130

Data Engineering Efficiency Engineering Testing 130

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?

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

The Netflix TechBlog

DECEMBER 3, 2022

Having a well-defined set of defaults for data pipeline creation across Netflix makes onboarding easier, provides standardization and centralization best practices. Centralized Best Practices Data infrastructure evolves continually. Let’s review them below.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Testsigma

NOVEMBER 28, 2019

Udacity Udacity provides nanodegree programs on all automation languages like C++, Machine Learning, Data engineer, Robotics and more. Along with providing testing tutorials, they also provide Best Practices steps, Technical Q&A forum, Multi-Lingual Tutorials, Online tutors and much more. Tutorials Point.

Website 53

Website Testing Programming Automotive 53