The Netflix TechBlog

OCTOBER 18, 2022

It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases.

Java 202

Java Scalability Traffic Architecture 202

Abhishek Tiwari

DECEMBER 22, 2017

In ELT model, you can load your events and entities in raw format into a data lake backed by a cloud object storage service such as Amazon S3 or Google Cloud Storage. You can also use cloud and SaaS services such as Google BigQuery, Amazon Redshift Spectrum, Amazon Athena, Qubole to implement ELT approach. Challenges.

Big Data 40

Big Data Retail Storage Google 40

The Symphonia

JUNE 19, 2018

We’ve got you covered), partnering with friends on a fascinating open source project, our most comprehensive training course yet, plenty of speaking engagements (see our expanding portfolio of talks that we can give to your team here ), and a revisit of an old friend. John and I (Mike) have had a fun three months.

Serverless 40

Serverless AWS DevOps Open Source 40

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency 63

Latency Analytics Scalability Engineering 63