<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[What is the best practice for 3rd party system big data integration ?]]></title><description><![CDATA[<p dir="auto">Hi everyone!</p>
<p dir="auto">We will read very big data from another system by using Mango. In current Mango system, we have already more than 10.000 points. There are 2 method that are reading from SQL and using API.</p>
<p dir="auto">Which method is the best practice for that integration?</p>
<p dir="auto">Best Regards,</p>
]]></description><link>https://forum.mango-os.com/topic/4710/what-is-the-best-practice-for-3rd-party-system-big-data-integration</link><generator>RSS for Node</generator><lastBuildDate>Wed, 12 Aug 2026 06:13:14 GMT</lastBuildDate><atom:link href="https://forum.mango-os.com/topic/4710.rss" rel="self" type="application/rss+xml"/><pubDate>Tue, 18 Feb 2020 14:50:10 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to What is the best practice for 3rd party system big data integration ? on Tue, 18 Feb 2020 19:10:05 GMT]]></title><description><![CDATA[<p dir="auto">I've mulled over what you have stated:</p>
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<p dir="auto">There is sql data source for pulling data in using sql queries but I don't know how complex your system is</p>
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<p dir="auto">A second option is using the http retriever and using the responses given to populate different points based upon the data given.</p>
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<p dir="auto">Not sure there's a 'best practice ' as I'm unaware if you're just bringing data across or you still need events to fire and meta points/scripts to trigger for given point data.<br />
Can you expand on what you want to achieve then perhaps a better route can be taken.</p>
<p dir="auto">Fox</p>
]]></description><link>https://forum.mango-os.com/post/24714</link><guid isPermaLink="true">https://forum.mango-os.com/post/24714</guid><dc:creator><![CDATA[MattFox]]></dc:creator><pubDate>Tue, 18 Feb 2020 19:10:05 GMT</pubDate></item></channel></rss>