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‎blog/2017-09-07-introducing-command-handler.html‎

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‎blog/2017-09-08-repository-and-unit-of-work-pattern-in-python.html‎

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‎blog/2017-09-13-commands-and-queries-handlers-and-views.html‎

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‎blog/2017-09-19-why-use-domain-events.html‎

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<p class="float-right"><em><small><a href="https://www.nasa.gov/image-feature/goddard/2016/hubble-spins-a-web-into-a-giant-red-spider-nebula">find out more about this image</a></small></em></p>
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<em><small><a href="https://www.nasa.gov/image-feature/goddard/2016/hubble-spins-a-web-into-a-giant-red-spider-nebula">
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‎blog/2020-01-25-testing_external_api_calls.html‎

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‎blog/2020-05-12-ddia-review.html‎

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<title>cosmic_python</title>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta name="author" content="Harry Percival and Bob Gregory">
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<meta property="og:title" content="cosmic_python" />
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<h1 class="title">Cosmic Python</h1>
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<section class="container">
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<h1> Book review: Designing Data-Intensive Applications, by Martin Kleppmann</h1>
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<p>by Harry, 2020-05-12</p>
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<img src="/images/ddia_map.png" />
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<em><small><a href="https://dataintensive.net/">
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image credit: one of the awesome chapter illustrations from Kleppmann's book
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</a></small></em></p>
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<p>I bought this book on the strength of its reviews, and I am very happy to add
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my own to the long list of five-stars.</p>
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<p>The book&rsquo;s aim is to help people to choose the right database technology for
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their problem. It does so by explaining, at quite a decent level of detail:</p>
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<ul>
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<li>How various databases, algorithms and data structures work.</li>
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<li>What guarantees they can give and what they cannot.</li>
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<li>Examples of edge cases and unexpected behaviours.</li>
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</ul>
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<p>It certainly has the potential to be <em>unbelievably</em> dry. But there are two
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things, I think, that mean it actually turns out to be quite a page-turner The
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first is if the reader is actually interested in the subject matter.
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I certainly was; it filled a lot of gaps in my knowledge. But the second is
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the quality of the writing. Somehow Kleppmann manages to give the whole thing
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the feeling of the old <a href="https://www.youtube.com/watch?v=UqW_6amFMHM">“but wait, there’s more!”</a>
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comedy sketch trope.</p>
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<p>Each chapter starts with a problem (eg “how do we manage concurrent access to
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the database?” and then presents some seemingly straightforward solutions
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(“transactions!”), then it goes on to explain them in detail, and along the way
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we learn all sorts of horrible gotchas, and new, thornier, more subtle problems
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that have been thrown up. And that leads us on to the next chapter, like an
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unbelievably nerdy cliffhanger. I couldn&rsquo;t put it down.</p>
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<p>It’s really well balanced between academic and practical engineering concerns,
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it’s extensively footnoted, it’s really well explained with good examples, and
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it ends on a thoughtful, philosophical note. If any of this sounds appealing
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at all, go read it no!</p>
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<p>Plus he’s quite a fan of the event-driven approach ;-)</p>
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<ul>
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<li><a href="https://amzn.to/3dJl7Rz">link to amazon.com</a> / <a href="https://amzn.to/2SWYpNC">amazon.co.uk</a></li>
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</ul>
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</div>
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<div id="disqus_thread" style="margin: 10px"></div>
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var disqus_config = function () {
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this.page.url = 'https://www.cosmicpython.com/blog/2020-05-12-ddia-review.html';
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this.page.identifier = 'cosmic-python--blog-2020-05-12-ddia-review';
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};
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‎index.html‎

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<a href="/blog/2020-05-12-ddia-review.html">2020-05-12 Book review: Designing Data-Intensive Applications, by Martin Kleppmann</a>
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</li>
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<h3>Guest Posts By David</h3>
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<h3>Classic 2017 Episodes on Ports & Adapters, by Bob</h3>
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‎posts/2020-05-12-ddia-review.md‎

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title: Book review: Designing Data-Intensive Applications, by Martin Kleppmann
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author: Harry
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image: ddia_map.png
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image_credit: https://dataintensive.net/
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image_credit_words: image credit: one of the awesome chapter illustrations from Kleppmann's book
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I bought this book on the strength of its reviews, and I am very happy to add
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my own to the long list of five-stars.
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The book's aim is to help people to choose the right database technology for
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their problem. It does so by explaining, at quite a decent level of detail:
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* How various databases, algorithms and data structures work.
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* What guarantees they can give and what they cannot.
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* Examples of edge cases and unexpected behaviours.
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It certainly has the potential to be _unbelievably_ dry. But there are two
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things, I think, that mean it actually turns out to be quite a page-turner The
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first is if the reader is actually interested in the subject matter.
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I certainly was; it filled a lot of gaps in my knowledge. But the second is
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the quality of the writing. Somehow Kleppmann manages to give the whole thing
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the feeling of the old [“but wait, there’s more!”](https://www.youtube.com/watch?v=UqW_6amFMHM)
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comedy sketch trope.
25+
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Each chapter starts with a problem (eg “how do we manage concurrent access to
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the database?” and then presents some seemingly straightforward solutions
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(“transactions!”), then it goes on to explain them in detail, and along the way
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we learn all sorts of horrible gotchas, and new, thornier, more subtle problems
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that have been thrown up. And that leads us on to the next chapter, like an
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unbelievably nerdy cliffhanger. I couldn't put it down.
32+
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It’s really well balanced between academic and practical engineering concerns,
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it’s extensively footnoted, it’s really well explained with good examples, and
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it ends on a thoughtful, philosophical note. If any of this sounds appealing
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at all, go read it no!
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Plus he’s quite a fan of the event-driven approach ;-)
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* [link to amazon.com](https://amzn.to/3dJl7Rz) / [amazon.co.uk](https://amzn.to/2SWYpNC)

‎rss.xml‎

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Simple patterns for building complex apps
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<title>Writing tests for external API calls</title>
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