This article is part of a series on deploying a production‑ready Apache Druid cluster on Kubernetes. […]
This article is part of a series on deploying a production‑ready Apache Druid cluster on Kubernetes. […]
Series: Installing a Production-Ready Apache Druid Cluster on Kubernetes — Part 1: Infrastructure Foundation This is […]
Time series data of Apache druid is the killer map for Model Context protocol server
While Apache Druid offers unparalleled real-time analytics, its operational complexity often creates a significant bottleneck for data teams. This article introduces the iunera Druid MCP Server, a revolutionary open-source tool that builds a conversational bridge to Druid's powerful engine. Learn how it leverages a Large Language Model (LLM) and the Model Context Protocol (MCP) to translate simple, natural language commands into complex data workflows, removing operational overhead and making advanced analytics accessible to everyone.
Cover image for the article 'Guide: Exposing Enterprise Data with Java and Spring for AI Indexing (for NLWeb)' featuring the Java and Spring logos prominently displayed alongside AI and NLWeb branding elements. The design includes a graph database visualization with interconnected nodes, symbolizing knowledge graphs and semantic data. A modern, professional aesthetic with a blue and white color scheme highlights the integration of Schema.org datatypes, JSON-LD, and OrientDB for enterprise data solutions. The background incorporates subtle binary code patterns, emphasizing AI-driven indexing and the semantic web for NLWeb’s conversational interfaces.
Discover how to expose enterprise data for AI indexing with Java and Spring using the jsonld-schemaorg-javatypes library for NLWeb. Learn to leverage Schema.org, JSON-LD, and OrientDB for semantic search, knowledge graphs, and interoperability, with sustainable Fair Code licensing.
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