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. To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model.
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.
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?)
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.
Examples range from online banking to personal entertainment delivery and e-commerce. Web application security is the process of protecting web applications against various types of threats that are designed to exploit vulnerabilities in an application’s code. Why is web application security important?
Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.
Finally, their complex user experiences are designed for power users and not suitable for the fast-growing segment of business users. SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries.
We use mobile apps to communicate, entertain us, conduct business, shop, and much more—on the go, anytime and anywhere. In order to make informed decisions, business owners, UX designers, and developers require data—specifically, they rely on insights from their data on a large scale, ideally in a single location.
We use qualitative and quantitative consumer research, analytics, experimentation, predictive modeling, and other tools to develop a deep understanding of our members. These data scientists design and execute tests to support learning agendas and contribute to decision making.
To directly support great decision-making throughout the company, there are a number of data science teams at Netflix that partner directly with Product Managers, engineering teams, and other business units to design, execute, and learn from experiments. Growth Advertising At Netflix, we want to entertain the world !
Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. Expanding the Cloud â??
Real-time data platform defined A real-time data platform is designed to ingest, process, analyze, and act upon data instantaneously — right when it’s generated or received. Processing such high data volumes requires robust infrastructure and scalable architecture designed for high performance and high availability.
In the process of becoming Big Media, companies like Google have become Big Surveillance, both directly (the data they capture and analyze) and indirectly (the multitude of 3rd party firms in the analytics chain).
This article is the last 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. Dashboard DesignTips Rina Chang , SusieLu What is design, and why does it matter? Need to catch up?
Pricing Design by Dan Mall 5 ⁄ 5 No one in web design has done more work to help others run a business than Dan Mall. Chasing Perfection by Andy Glockner 3 ⁄ 5 There’s a great book to be written on this topic—the use of advanced data and analytics in the NBA—but this isn’t it.
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