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Kafka, Flink, and Beyond! Here’s What Happened at Current 2023

Confluent

See the highlights on how the data streaming platform is evolving, why Kafka and Flink are like PB&J, why generative AI needs fresh data, and lots more from the Current 2023 premiere data streaming technology event.

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Know Before You Go: Precisely at Confluent’s Current 2023

Precisely

The Precisely team is excited to be part of Confluent’s Current 2023 conference, September 26 & 27. Precisely data integrity solutions fuel your Confluent and Apache Kafka streaming data pipelines with trusted data that has maximum accuracy, consistency, and context and we’re ready to share more with you at the upcoming Current 2023.

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Async APIs - don't confuse your events, commands and state by David Hope

Scott Logic

I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment. I’ll use the term message in this blog as a generic term for asynchronous communication that may be state or commands or events.

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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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The Objective Vein: Visualizing the Current of Cash Flow

FreshBI

In the dynamic world of business, cash flow is the unseen channel guiding the currents of day-to-day operations, innovation, and expansion. At this point, the narrator would discuss common events that scientists have studied, for example, the impact seasons have on water levels and how erosion slowly changes the riverbed.

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Unlock complex campaigns with Braze Currents and RudderStack

RudderStack

With the Braze Currents integration, you can stream continuous, near real-time event data to RudderStack and route it across your entire stack.

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Demystifying event streams: Transforming events into tables with dbt

dbt Developer Hub

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. So our solution was to start using an intentional contract: Events. What are Events? Events are facts about what happened within your service.

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