<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Elasticsearch on Alex&#39;s blog</title>
    <link>https://www.afsalomon.com/tags/elasticsearch/</link>
    <description>Recent content in Elasticsearch on Alex&#39;s blog</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 15 Nov 2017 00:58:09 -0500</lastBuildDate>
    
	<atom:link href="https://www.afsalomon.com/tags/elasticsearch/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>Test drive of VENES stack for searching open datasets -Part 1</title>
      <link>https://www.afsalomon.com/post/test-drive-of-venes-tech-stack/</link>
      <pubDate>Wed, 15 Nov 2017 00:58:09 -0500</pubDate>
      
      <guid>https://www.afsalomon.com/post/test-drive-of-venes-tech-stack/</guid>
      <description>What is VENES? V Vuejs| E Express| N Nodejs| ES Elasticsearch What we’re building Given several open data sets or dataset apis, the idea is to extract the datasets, transform and load them into an Elasticsearch cluster for fast searches via the Elasticsearch api. Users should be able to type in terms in a text box, google search style, and get instant relevant hits, then they should be able to narrow down their choices using some filtering mechanism.</description>
    </item>
    
  </channel>
</rss>