<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Business Analytics - Articles</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Business Analytics Articles feed</description>
    <item>
      <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-articles</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>Time Series Data</category>
      <category>Dynamo DB</category>
      <category>Architecture</category>
      <category>Kinesis</category>
      <category>Data Analytics</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Thu, 29 Jun 2023 09:00:00 GMT</pubDate>
      <guid>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-articles</guid>
      <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>
    </item>
  </channel>
</rss>
