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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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Web Quality Assurance: From User Requirements To Web Risk Management

Smashing Magazine

When delving into the concept of website quality assurance back in 2001, we started with a simple question: “What does quality mean for the users?”. VPTCS model © Élie Sloïm — Éric Gateau — 2001 — www.opquast.com. On design systems, CSS/JS and UX. By the way, now I like wine, from everywhere. Large preview ).

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MICRO 2019 Trip Report

ACM Sigarch

In particular, she highlighted her transformative MIT’78 VLSI System Design Course she designed and taught as a Visiting Professor of EECS at MIT. Two Test of Time awards went to: “Speculative Lock Elision: Enabling Highly Concurrent Multithreaded Execution” published at MICRO 2001 by Ravi Rajwar and James R.

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Quick Data Archival in MySQL Using Partitions

Percona

Space constraint has been an endless and painstaking process for many of us, especially in systems that have a high number of transactions and data growth exceeding hundreds of GBs in a matter of days. MySQL won’t shrink tablespace and storage won’t be released to the file system. What is partitioning? ibd -rw-r --.

Traffic 93
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Jamstack CMS: The Past, The Present and The Future

Smashing Magazine

During the 90s, we saw two content management systems for static sites — Microsoft FrontPage in 1996 and Macromedia Dreamweaver in 1997. These desktop applications incremented the tooling an inch closer to the modern Jamstack content management systems of today. Drupal has a rich and extendable permission system.

Ecommerce 142
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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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The 5 Main Challenges With Monetizing AI and ML Data (and How to Fix Them)

VoltDB

The fact is: AI and ML data have incredible business impact potential, but only with the support of true real-time data processing. In fact, the overall return on AI projects has notably dismal thus far. Why mention this in a tech blog about AI in 2024?

Speed 52