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      <title>Article: Designing the Jit Analytics Architecture for Scale and Reuse</title>
      <link>https://www.infoq.com/articles/jit-analytics-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Business+Analytics</link>
      <description>&lt;img src="https://res.infoq.com/articles/jit-analytics-architecture/en/headerimage/designing-jit-analytics-architecture-for-scale-and-reuse-header-1687790095857.jpg"/&gt;&lt;p&gt;As a SaaS provider, analytical data at Jit needs to be useful to both their customers and to internal stakeholders. AWS services including EventBridge, Kinesis Data Firehose, and Timestream handle data ingestion and UI platforms from Mixpanel and Segment provide data visualization.&lt;/p&gt; &lt;i&gt;By Ariel Beck, Hen Kling, Jonathan Rosenboim&lt;/i&gt;</description>
      <category>Business Analytics</category>
      <category>Kinesis</category>
      <category>Architecture</category>
      <category>Data Analytics</category>
      <category>Dynamo DB</category>
      <category>Time Series Data</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Thu, 29 Jun 2023 09:00:00 GMT</pubDate>
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      <dc:creator>Ariel Beck, Hen Kling, Jonathan Rosenboim</dc:creator>
      <dc:date>2023-06-29T09:00:00Z</dc:date>
      <dc:identifier>/articles/jit-analytics-architecture/en</dc:identifier>
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