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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

While not every company needs to process millions of events per second, understanding these advanced architectures helps us make better decisions about our own data infrastructure, whether we’re handling user recommendations, ride-sharing logistics, or simply figuring out which meeting rooms are actually being used.

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Trends and Takeaways from Banking and Payments’ Event of the Year

Snowflake

This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing data governance).

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From Event-Driven Chaos to a Blazingly Fast Serving API

Zalando Engineering

Real-time data access is critical in e-commerce, ensuring accurate pricing and availability. At Zalando, our event-driven architecture for Price and Stock updates became a bottleneck, introducing delays and scaling challenges. A simple request"Im building a new feature and need access to product data. Where do I get it?"had

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How Snowflake and Merit Helped Provide Over 120,000 Students with Access to Education Funding 

Snowflake

The event-driven architecture converts events to Snowflake’s relational tables, enabling rapid, accurate, and secure data delivery for the most crucial government programs — ultimately benefiting more people, more smoothly. The work we do together is truly meaningful. ”

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Making Spark Accessible: My Databricks Summer Internship

databricks

My summer internship on the PySpark team was a whirlwind of exciting events. The PySpark team develops the Python APIs of the open.

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Did Automattic commit open source theft?

The Pragmatic Engineer

And yet, substitute Apple with Automattic, App Store with WordPress.org and Spotify with one of the most popular WordPress plugins: and Automattic’s CEO is accused of orchestrating events similar to above. This event is shameful and unprecedented in the history of open source on the web. Open source theft? Source: X What next?

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Netflix’s Distributed Counter Abstraction

Netflix Tech

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Datasets 100