<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Software Engineering on Wijnand Baretta</title><link>https://wijnandbaretta.com/tags/software-engineering/</link><description>Recent content in Software Engineering on Wijnand Baretta</description><image><title>Wijnand Baretta</title><url>https://wijnandbaretta.com/images/og-default.png</url><link>https://wijnandbaretta.com/images/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Thu, 14 Dec 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/tags/software-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems</title><link>https://wijnandbaretta.com/books/designing-data-intensive-applications-the-big-ideas-behind-reliable-scalable-and-maintainable-systems/</link><pubDate>Thu, 14 Dec 2017 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/designing-data-intensive-applications-the-big-ideas-behind-reliable-scalable-and-maintainable-systems/</guid><description>&lt;h1 id="designing-data-intensive-applications-the-big-ideas-behind-reliable-scalable-and-maintainable-systems"&gt;Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems&lt;/h1&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;&amp;ldquo;Designing Data-Intensive Applications&amp;rdquo; by Martin Kleppmann is a comprehensive guide to the architectural design and implementation of modern distributed data systems. This book explores the principles and trade-offs involved in building robust, scalable, and maintainable data applications. It covers a wide range of topics, including data models, storage systems, data encoding, replication, partitioning, transactions, and system consistency. Through these subjects, Kleppmann provides a deep insight into how successful systems are built and the practical challenges faced when handling large-scale data.&lt;/p&gt;</description></item></channel></rss>