This series on real-time analytics infrastructure and use cases comprises interviews with practitioners building real-time analytics technologies. If you’re looking to dabble with real-time in 2023, these 3 episodes should give you a very good understanding of how to go about it.

You can watch or listen to the interviews, or read the Q&A.

Part 1: Streaming Data

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Simplifying Streaming Data Infrastructure w/ Dunith from Redpanda Data

Listen now (13 min) | Streaming data infrastructure is going mainstream. Technologies built to cater to the needs of large-scale organizations like LinkedIn and Uber can now be utilized by startups to deliver hyper-personalized product experiences in real time. However, making the case for streaming data infra and figuring out where to get started is not trivial. Thankfully, …

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5 months ago · 3 likes · Arpit Choudhury

Part 2: Change Data Capture (CDC)

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Understanding Change Data Capture (CDC) w/ John from Striim

Listen now (11 min) | In part 1 of this series, we covered how streaming data analytics is going mainstream. Therefore, it’s useful to understand the role of change data capture or CDC in real-time analytics since CDC is a key component of streaming data infrastructure. In the episode…

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3 months ago · 1 like · Arpit Choudhury

Part 3: Stream Processing

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Understanding Stream Processing with Zander from Bytewax

Listen now (9 min) | Stream processing is another key component of real-time or streaming data infrastructure. Zander Matheson is building Bytewax, an open source Python framework to build real-time apps using streaming data. In this episode, Zander explains stream processing in simple terms, touches upon the difference between…

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a month ago · Arpit Choudhury and Zander Matheson

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