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    <title>Forem: anup ranjan</title>
    <description>The latest articles on Forem by anup ranjan (@anup_ranjan_5f812da043fb0).</description>
    <link>https://forem.com/anup_ranjan_5f812da043fb0</link>
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      <title>Forem: anup ranjan</title>
      <link>https://forem.com/anup_ranjan_5f812da043fb0</link>
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      <title>From Oracle Endeca to Elasticsearch: What 10+ Years in Enterprise Search Taught Me About Modern Search Engineering</title>
      <dc:creator>anup ranjan</dc:creator>
      <pubDate>Sat, 28 Feb 2026 21:33:59 +0000</pubDate>
      <link>https://forem.com/anup_ranjan_5f812da043fb0/from-oracle-endeca-to-elasticsearch-what-actually-transfers-272d</link>
      <guid>https://forem.com/anup_ranjan_5f812da043fb0/from-oracle-endeca-to-elasticsearch-what-actually-transfers-272d</guid>
      <description>&lt;p&gt;For most of my career, I worked on large-scale commerce search systems powered by Oracle Endeca.&lt;/p&gt;

&lt;p&gt;Search wasn’t just a feature. It impacted revenue, conversions, and user experience at scale.&lt;/p&gt;

&lt;p&gt;Recently, I started building hands-on projects with Elasticsearch.&lt;/p&gt;

&lt;p&gt;One thing became clear very quickly:&lt;/p&gt;

&lt;p&gt;The tools have changed. The fundamentals haven’t.&lt;/p&gt;

&lt;p&gt;What Years in Search Really Teach You&lt;/p&gt;

&lt;p&gt;Working on enterprise search platforms forces you to think about:&lt;/p&gt;

&lt;p&gt;Index design for large catalogs&lt;br&gt;
Relevance tuning and ranking strategy&lt;br&gt;
Faceted navigation&lt;br&gt;
Query performance under load&lt;br&gt;
Data modeling for search behavior&lt;/p&gt;

&lt;p&gt;Those principles are not product-specific.&lt;/p&gt;

&lt;p&gt;They apply just as much to Elasticsearch.&lt;/p&gt;

&lt;p&gt;What I Built&lt;/p&gt;

&lt;p&gt;To validate the transition, I implemented a small commerce-style Elasticsearch project that included:&lt;/p&gt;

&lt;p&gt;Explicit index mappings (separating text and keyword fields)&lt;br&gt;
Weighted relevance boosting (title^3 vs description)&lt;br&gt;
Bulk indexing to simulate production ingestion&lt;br&gt;
Aggregations for faceted navigation&lt;/p&gt;

&lt;p&gt;Instead of focusing on syntax, I focused on architecture:&lt;/p&gt;

&lt;p&gt;How should the index be structured?&lt;br&gt;
How should ranking reflect business logic?&lt;br&gt;
How would this behave at scale?&lt;/p&gt;

&lt;p&gt;That thinking felt very familiar.&lt;/p&gt;

&lt;p&gt;What I’m Working on Now&lt;/p&gt;

&lt;p&gt;I’m expanding the project to simulate more production concerns:&lt;/p&gt;

&lt;p&gt;Larger datasets&lt;br&gt;
Pagination strategy&lt;br&gt;
Index optimization&lt;br&gt;
Performance behavior&lt;/p&gt;

&lt;p&gt;The goal isn’t just learning a new tool.&lt;/p&gt;

&lt;p&gt;It’s applying deep search engineering principles to modern platforms like Elasticsearch and OpenSearch.&lt;/p&gt;

&lt;p&gt;Technology evolves.&lt;/p&gt;

&lt;p&gt;But strong system design thinking compounds.&lt;/p&gt;

&lt;p&gt;If you're modernizing search, migrating from legacy platforms, or tuning relevance in high-volume systems, I’d be happy to connect and exchange ideas.&lt;/p&gt;

&lt;p&gt;You can explore the project code on GitHub&lt;a href="https://github.com/anupanupranjan-gif/commerce-search-platform" rel="noopener noreferrer"&gt;here&lt;/a&gt; .&lt;/p&gt;

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      <category>architecture</category>
      <category>elasticsearch</category>
      <category>devops</category>
      <category>career</category>
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