Remove Architecture Remove Data Engineering Remove Entertainment
article thumbnail

A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

article thumbnail

Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report.

Analytics 126
article thumbnail

Microservices Adoption in 2020

O'Reilly

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). If you combine the different architectural roles—i.e., Adding architects and engineers, we see that roughly 55% of the respondents are directly involved in software development. Figure 1: Respondent roles.

Database 145
article thumbnail

Part 3: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

A few questions to ask yourself when considering the information architecture of your appinclude: Do you have different user groups trying to accomplish different things? Batch processing data may provide a similar impact and take significantly less time. Split them into different apps or different views.

Analytics 202