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November 25, 2019 122 mins

We start our deep dive into Joe's favorite new book, Designing Data-Intensive Applications as Joe can't be stopped while running downhill, Michael might have a new spin on #fartgate, and Allen doesn't quite have a dozen tips this episode.

If you're reading this via your podcast player, you can always go to https://www.codingblocks.net/episode120 to read these show notes on a larger screen and participate in the conversation.

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  • Come see Allen at NDC { London } for your chance to kick him in the shins, where he will be giving his talk Big Data Analytics in Near-Real-Time with Apache Kafka Streams. (ndc-london.com)
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Designing Data-Intensive Applications

About this book

What is a data-intensive application per the book?

Any application whose primary challenge is:

  • The quantity of data.
  • The complexity of the data.
  • The speed at which the data is changing.

That's in contrast to applications that are compute intensive.

Buzzwords that seem to be synonymous with data-intensive

  • NoSQL
  • Message queues
  • Caches
  • Search indexes
  • Batch / stream processing

This book is …

This book is NOT a tutorial on how to do data-intensive applications with a particular toolset or pure theory.

What the book IS:

  • A study of successful data systems.
  • A look into the tools / technologies that enable these data intensive systems to perform, scale, and be reliable in production environments
  • Examini
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