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Data News — Week 23.08

Christophe Blefari

This is something I struggle with, I really like writing, I really like this newsletter, I really like the blog, but it takes me one day per week to be done. A bit of infrastructure This week I've seen a lot of articles that I can put under the infrastructure category, so here we are. I'm open to all honest feedbacks.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

In this blog post, we will discuss such technologies. In the past, this data was too large and complex for traditional data processing tools to handle. However, advances in technology have now made it possible to store, process, and analyze big data quickly and effectively. Data processing is where the real magic happens.

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How to learn data engineering

Christophe Blefari

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient. Here a small benchmark between some popular formats.

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Use Consistent And Up To Date Customer Profiles To Power Your Business With Segment Unify

Data Engineering Podcast

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. What are some of the categories of attributes that need to be managed in a prototypical customer profile? Let us know if you have opinions there!

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All of Netflix’s HDR video streaming is now dynamically optimized

Netflix Tech

We were, however, missing the systematic ability to measure perceptual quality ( VMAF ) of HDR streams since VMAF was limited to standard dynamic range (SDR) video signals. As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. By June 2023 the entire HDR catalog was optimized.

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Build AI-powered Recommendations with Confluent Cloud for Apache Flink® and Rockset

Rockset

Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. It powers steam processing at many companies including Uber, Netflix, and Linkedin. What are the challenges building RAG pipelines?

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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