Remove Availability Remove Data Engineering Remove Event Remove Performance
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1. Streamlining Membership Data Engineering at Netflix with Psyberg

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. It also becomes inefficient as the data scale increases.

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Importantly, all the use cases were engineered by practitioners themselves. These integrations are implemented through Metaflow’s extension mechanism which is publicly available but subject to change, and hence not a part of Metaflow’s stable API yet. Thanks to Arrow, data can be accessed through these libraries in a zero-copy fashion.

Systems 226
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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Efficiency space, our data teams focus on transparency and optimization.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

We’ve compiled our speaking events below so you know what we’ve been working on. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

We’ve compiled our speaking events below so you know what we’ve been working on. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100
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Post: Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105