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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

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Data Mining Problems in Retail

Highly Scalable

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The most typical use cases for this problem are recommender systems, personalized search results ranking, and targeted ads.

Retail 152
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What I Read in 2011

Tim Kadlec

” and “The Death and Life of the Great American School System” are at the top for non-fiction (excluding the web-related ones). 2001: A Space Odyssey by Arthur C. The Death and Life of the Great American School System by Diane Ravitch. Hardboiled Web Design by Andy Clarke. Linchpin by Seth Godin.

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Solaris to Linux Migration 2017

Brendan Gregg

What follows are topics that may be of interest to anyone looking to migrate their systems and skillset: scan these to find topics that interest you. ## ZFS ZFS is available for Linux via the [zfsonlinux] and [OpenZFS] projects, and more recently was included in Canonical's Ubuntu Linux distribution: Ubuntu Xenial 16.04 Hit Ctrl-C to end. ^C

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

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Netflix: A Culture of Learning

The Netflix TechBlog

There is broad buy-in across the company, including from the C-Suite, that, whenever possible, results from A/B tests or other causal inference approaches are near-requirements for decision making. our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001.

Education 247