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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. More details about this use case can be found on LinkedIn’s engineering blog.

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The Top Pinterest Engineering Blog posts from 2023

Pinterest Engineering

Our Pinterest Engineering Blog goes deeper into the technical learnings and insights behind many of these launches. Here, you’ll be the first to know about new Engineering blogs, events and employee stories. Thank you for supporting our Pinterest Engineering Blog this year. Cheers to 2024!

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Automating Dynamic Table Creation with Event Logging

Cloudyard

This blog post showcases a novel approach combining Snowflake’s Event Logging and Dynamic Tables to automate the creation and population of dynamic tables based on Copy operations. Event-Driven Logging The journey begins with an innovative approach to log and monitor data copy operations.

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Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

Uber Engineering

With this new ability came new challenges that needed to be solved at Uber, such as systems for ad auctions, bidding, attribution, reporting, and more. This article focuses on how we … The post Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot appeared first on Uber Engineering Blog.

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A Year of Modern: Our Top 2022 Blog Posts — Chosen by You

The Modern Data Company

In 2023, The Modern Data Company (Modern) hopes to reach more companies and organizations with our data operating system, build incredible value from existing and upcoming data assets, and share insights into major shifts in what it means to be data-driven. These were our most popular blog posts in 2022 according to reader statistics.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. By exploring the benefits of using Data Mesh for your event streaming architecture, this article will help you decide if it’s the right solution for your organization.

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Building A Real Time Event Data Warehouse For Sentry

Data Engineering Podcast

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. In this episode James Cunningham and Ted Kaemming describe the process of rearchitecting a production system, what they learned in the process, and some useful tips for anyone else evaluating Clickhouse.