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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

His favorite TV shows: Ozark, Breaking Bad, Black Mirror, Barry, and Chernobyl Since I joined Netflix back in 2011, my favorite project has been designing and building the first version of our entertainment knowledge graph. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data.

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

The Netflix TechBlog

We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. Later I enrolled in a data science program focused on helping academics transition to industry roles. A passion for making informed decisions based on data. I was doing data science without realizing it.

Analytics 207
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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

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??

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Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

By Budhaditya Das , Wallace Wang , and Scott Yao At Netflix, we aspire to entertain the world. However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple?—?three

Mobile 209
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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. Put simply, data is not always readily available and accessible to organizational end users.

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