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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. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.

Analytics 207
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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

People now depend on digital experiences for access to goods, services, and entertainment. As such, the corporation’s mission is to deliver exceptional—and healthy—gambling entertainment experiences. Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools.

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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118
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DBaaS vs Self-Managed Cloud Databases

Scalegrid

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. SPICE is cloud-native, which means that customers don’t need to provision, manage, or scale infrastructure manually.

Analytics 152
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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

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 !

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Netflix: A Culture of Learning

The Netflix TechBlog

We use qualitative and quantitative consumer research, analytics, experimentation, predictive modeling, and other tools to develop a deep understanding of our members. As a company, we aim to be curious, and to truly and honestly understand our members around the world, and how we can better entertain them.

Education 238