This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.
This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Content CashModeling Alex Diamond At Netflix we produce a variety of entertainment: movies, series, documentaries, stand-up specials, and more.
In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. What keeps me engaged and enjoying data engineering is giving super-suits and adrenaline shots to analytics engineers and data scientists. are these two movie names in different languages really the same?)
Part of our series on who works in Analytics at Netflix?—?and That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment.
QuickSight is built on a large number of innovative technologies to get a business user their first insights fast. SPICE is a new technology built by the same team that created technologies such as DynamoDB, Amazon Redshift, and Amazon Aurora. While QuickSight supports multiple graph types (e.g., How you can get started.
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. Clark Wright, Staff Analytics Engineer at Airbnb, talked about the concept of Data Quality Score at Airbnb.
The haphazard results may be entertaining, although not quite based in fact. Graph technologies help reveal nonintuitive connections within data. GraphRAG is a technique which uses graph technologies to enhance RAG, which has become popularized since Q3 2023. What is GraphRAG?
Examples range from online banking to personal entertainment delivery and e-commerce. Here’s how some Gartner analysts describe the current state of WAFs: “With few exceptions, WAF technology has failed to deliver on the promise to automatically enforce a positive security model.”. What is web application security?
As a front-runner for auto-instrumentation in the observability space, Dynatrace has rolled out support for these technologies to expand its coverage for mobile applications. We use mobile apps to communicate, entertain us, conduct business, shop, and much more—on the go, anytime and anywhere. As people typically spend 4.8
We use qualitative and quantitative consumer research, analytics, experimentation, predictive modeling, and other tools to develop a deep understanding of our members. Just as the Netflix product itself has evolved over the years, our approach to developing technologies to support experimentation at scale continues to evolve.
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. Growth Advertising At Netflix, we want to entertain the world !
During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology. No Server Required - Jekyll & Amazon S3.
ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. DBaaS provides streamlined management with maintenance-free operations & enhanced security.
“Tame Your Data Monster” illustrates the power of real-time digital twins in an entertaining new video. Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system.
Website and web application technologies have grown tremendously over the years. Users who rely on the websites for their fundamental needs or entertainment will not tolerate even a few seconds delay. Any website or a web application that users rely on for their entertainment or fundamental needs should try to have an uptime of 99.9%.
“Tame Your Data Monster” illustrates the power of real-time digital twins in an entertaining new video. Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system.
Real-time data platforms often utilize technologies like streaming data processing , in-memory databases , and advanced analytics to handle large volumes of data at high speeds. Business support systems Real-time data platforms can be used to power business support systems (BSS), enabling telcos to make the most of the 5G moment.
Within 24 hours of last month's post on regulation of technology firms , new anti-trust probes into Google and Apple were reported by the Wall Street Journal. In short, the proposed merger would have yielded everything except for the specific electronic vehicle technology that governments are adamant that auto manufacturers must deliver.
His point, very Neil Postman-esque, is particularly true in today’s world of entertainment-driven news and fast-moving social networks that I’m increasingly convinced that, by default, only amplify existing biases. It’s fascinating to read about the different ways our technology-reliant world is vulnerable to attacks.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content