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<oembed><version>1.0</version><provider_name>Tech Lead</provider_name><provider_url>https://tech-lead.eu</provider_url><author_name>Pawel Mantur</author_name><author_url>https://tech-lead.eu/author/techlead/</author_url><title>Lambda architcture &lambda; - Tech Lead</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://tech-lead.eu/architecture/lambda-architcture/"&gt;Lambda architcture &lambda;&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://tech-lead.eu/architecture/lambda-architcture/embed/" width="600" height="338" title="&#x201C;Lambda architcture &lambda;&#x201D; &#x2014; Tech Lead" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>I&#x2019;ve been doing some research recently about architectures for large scale data analysis systems. An idea that appears quite often when discussing this problem is lambda architecture. Data aggregation The idea is quite simple. Intuitive approach to analytics is to gather data as it comes and then aggregate data for better performance of analytic queries. &hellip; Continue reading</description><thumbnail_url>https://tech-lead.eu/wp-content/uploads/2020/02/la-overview_small.png</thumbnail_url></oembed>
