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Elastic named a Leader in The Forrester Wave: Cognitive Search Platforms, Q4 2025

Oct 3, 2025 By Natalie Blake In Elastic
Today, we’re excited to share that Elastic has been named a Leader in The Forrester Wave: Cognitive Search Platforms, Q4 2025. We believe this recognizes our continued innovation in AI-powered search and the momentum of the Elasticsearch Platform.
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Future-proofing Singapore as an AI-first nation with Search AI

Sep 23, 2025 By James Leong In Elastic
During the 2025 National Day Rally, Singapore’s Prime Minister Lawrence Wong announced a renewed commitment to empower Singaporean workers with AI and transform the nature of jobs as Singapore takes steps to adopt AI in business processes. He referenced an AI-powered orthopantomogram (OPG) scanner that flags dental conditions when analyzing X-rays, reducing the time taken for assessment from 15–20 minutes to 15–20 seconds.
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Structured Data Demystified: A Practical Guide for Better Search Visibility

Structured Data Demystified: A Practical Guide for Better Search Visibility

Sep 12, 2025 By OpsMatters In OpsMatters
Structured data is a standardized approach to organizing and annotating information on web pages, making it easier for search engines to interpret and display website content accurately. Rather than being visible to website visitors, structured data exists within the site's code, providing clear, machine-readable cues about what each section, item, or attribute represents. This communication enables search engines to offer more informative and visually compelling search results, setting a strong foundation for discoverability and digital success.
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What Are Mappings in Elasticsearch? (Explained Simply)

Aug 28, 2025 By Elastic In Elastic
Elasticsearch mappings turn logs from unstructured text into usable data. In this video, we explain what mappings are, how they define fields like text, number, and date, and why they matter. With the right mappings, Elasticsearch can filter error codes, sort by response time, and group results by browser, region, or version.
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The business impact of Elasticsearch logsdb index mode and TSDS

Aug 27, 2025 By Tim Brophy In Elastic
The Elasticsearch storage engine team has made significant strides in improving storage efficiency and performance in Elasticsearch 8.19 and 9.1. Now that these changes are available, what impact can they have on your business? And how do you make the most of them?
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How Elasticsearch Works: Documents, JSON & Index Explained

Aug 26, 2025 By Elastic In Elastic
Ever wondered how Elasticsearch can search any kind of data? In this video, we break it down with a simple deck of cards analogy that makes indexing easy to understand. Each card is like a JSON document with fields and values, suit, color, number, type. Combine them and you’ve built an index, giving Elasticsearch the power to answer queries like “show me all the red cards” or “show me only the face cards.” If you can describe it, you can index it, and if you can index it, you can search it.
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Elasticsearch Explained for Beginners: From Spreadsheets to JSON, Indices & Shards

Aug 23, 2025 By Elastic In Elastic
Ever wondered how Elasticsearch actually works? In this quick breakdown, I’ll use a simple spreadsheet analogy to explain the basics from documents and indices to shards, CRUD operations, and mappings. You’ll see how Elasticsearch stores data as JSON documents, splits indices into shards for scalability, uses CRUD with ID hashing for fast lookups, and applies mappings to organize text, numbers, and labels.
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What Is Vector Search? Difference Between Vector & Semantic Search Explained [Quick Question Ep. 5]

Aug 21, 2025 By Elastic In Elastic
What is vector search? In this breakdown, learn how vector search leverages machine learning to capture the meaning and context of unstructured data by transforming it into a numeric representation that is stored in a vector database. This video also explains the difference between sparse and dense embeddings, and how vector search differs from semantic search and lexical search.
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Aiven

Logs & Search slowing you down? Simplify and accelerate with Aiven for OpenSearch

Aug 19, 2025 By Jeremy Heller In Aiven
For many growing businesses, data infrastructure grows and evolves organically. This often results in teams running one technology for log analytics, like a self-managed ELK cluster, and a completely separate technology for application search. While functional, these disparate tech stacks begin to eat into the bottom line. Businesses grapple with fragmented skill sets, inconsistent security models, multiple vendors, and a constant operational tax.
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