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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

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.

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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.

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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.

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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

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?)

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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

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.

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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. During the booking process, I attempted to use some of my travel vouchers – but the button to apply these credits didn’t work.

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

All Things Distributed

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways.

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