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A Look At The Data Systems Behind The Gameplay For League Of Legends

Data Engineering Podcast

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem. How is everyone going to find the data they need, and understand it?

Systems 130
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Operating System Snapshot Automation

LinkedIn Engineering

With a reasonably sizable footprint of servers in data centers, LinkedIn is responsible for ensuring that these hosts are always on an operating system (OS) version deemed the ���latest and greatest��� for all intents and purposes. An OS snapshot is a collection of bootfiles (initrd, vmlinuz), RPMs, and a few extra metadata.

Systems 55
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8 Data Quality Monitoring Techniques & Metrics to Watch

Databand.ai

The importance of data quality cannot be overstated, as poor-quality data can result in incorrect conclusions, inefficient operations, and a lack of trust in the information provided by a company’s systems. Consistency: The uniformity of data across different sources or systems.

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

Rockset

In this blog, we’ll discuss how RAG fits into the paradigm of real-time data processing and show an example product recommendation application using both Kafka and Flink on Confluent Cloud together with Rockset. These additional inputs are referred to as metadata filtering.

Cloud 64
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Detecting Speech and Music in Audio Content

Netflix Tech

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

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Data Engineering Weekly #162

Data Engineering Weekly

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Thanks to Ideas2IT Technologies for hosting us in their fantastic space.

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Data Engineering Weekly #152

Data Engineering Weekly

link] Evidently: ML system design - 300 case studies to learn from An amazing compilation of ML system design articles from various companies. The blog is an excellent comparison study of Ray vs. Dask’s performance. Tuning hyperparameters like rank and dataset diversity is key. Stores metadata to utilize later.