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Reflections on Event Streaming as Confluent Turns Five – Part 2

Confluent

But I follow it up quickly with a second and potentially unrelated pattern: real-time data pipelines. If it’s not real-time data, it’s old data. Around that same time, the disciplines, tooling, and consulting companies that would come to define business analytics were just being formed. Batch vs. real-time streams of data.

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Breaking the Deadlock Between User Experience and Developer Experience

A List Apart

User experience designers and researchers lay a solid foundation for building modern web apps. The message we appear to be sending is, “We care so much about your experience as a user that we’re willing to grind it to a halt so we can ask you about it, and track how you use the things we build!”.

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Streaming Market Data with Flink SQL Part I: Streaming VWAP

Cloudera

This article is the first of a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Speed matters in financial markets.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Speed matters in financial markets.