Remove Analytics Remove Entertainment Remove Innovation
article thumbnail

Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

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.

Analytics 190
article thumbnail

My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

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.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers. We use mobile apps to communicate, entertain us, conduct business, shop, and much more—on the go, anytime and anywhere.

Mobile 299
article thumbnail

What is web application security? Everything you need to know.

Dynatrace

Then I will describe various types of security products that can be used for web application security including some innovations that Dynatrace has recently introduced. Examples range from online banking to personal entertainment delivery and e-commerce. WAF appliances have seen little innovation during the past four years.”.

article thumbnail

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. Roxy Du (Product Innovation) [Roxy D.]

Analytics 216
article thumbnail

What I Read in 2017

Tim Kadlec

I love the way he manages to wrangle disparate topics across science and history to show how much of innovation and advancement is non-linear. Williams book is an example of why the pop-sci genre became so popular in the first place—it’s well-written, well-researched, engaging and entertaining. This isn’t one of them.

BioTech 45
article thumbnail

Come On and Take a Free (Regulatory) Ride

The Agile Manager

It takes quite a while for a society to figure out the consequences of its innovations and the price it is paying directly or indirectly for the benefits it enjoys, hence regulation lags commercial innovation for a very long time.