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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.

Process 119
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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. What was the process for adding full Java support in addition to SQL?

Process 182
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4 Steps for Building Event-Driven GenAI Applications

Confluent

You’re not alone—GenAI apps can be challenging to build. Luckily, taking an event-driven approach can make the process more manageable. Struggling to get your GenAI app off the ground? Learn how.

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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. Check out the agenda and register at Neo4j.com/NODES.

Building 162
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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.

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How Does Scrum Master Facilitate Events?

Knowledge Hut

In this article, we will look at how a scrum master facilitates events such as daily scrum meetings, sprint planning, sprint review, and sprint retrospective meetings. They also support the team in improving their process and collaborating more successfully. Also, we will discuss what qualities they must have to be great facilitators.

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Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform (Part 1)

Confluent

Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform.

Kafka 104