The Netflix TechBlog

NOVEMBER 14, 2023

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.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Simform

JANUARY 8, 2023

Data ingestion is the foremost layer in a data engineering pipeline, acting as a vital pillar in the overall analytics architecture. Thus, it is essential to implement data ingestion just right. Here is everything you need to know to take the first step toward a flawless data pipeline.

Data Engineering 52

Data Engineering Analytics Architecture Engineering 52

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. Big data automation tools. How organizations benefit from automating IT practices.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Adrian Cockcroft

FEBRUARY 13, 2023

SUS206 Sustainability and AWS silicon  — Kamran Khan AWS Senior Product Manager Inferential/Trainium/FPGA, David Chaiken Pinterest Chief Architect, and Paul Mazurkiewicz AWS Senior Principal Engineer. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA.

AWS 64

AWS Energy Architecture Programming 64

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. It can be used to power new analytics, insight, and product features. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. Users configure the workflow to read the data in a window (e.g. The window is set based on users’ domain knowledge so that users have a high confidence that the late arriving data will be included or will not matter (i.e.

Processing 210

Processing Big Data Efficiency Engineering 210