Data analytics
Real-Time Analytics with SignalR and InfluxDB: Building a Production Metrics Dashboard
- Sudhir Mangla
- Data Analytics , Real Time Systems
- 14 Jan, 2026
1 Architectural Foundations for High-Throughput Analytics Modern production systems emit metrics continuously. CPU usage, request latency, cache efficiency, queue depth, and IoT sensor values are
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Enterprise Text-to-SQL Analytics: Python, Haystack, and SQL Server for Natural Language BI Queries
- Sudhir Mangla
- AI & Machine Learning , Data Analytics
- 19 Dec, 2025
1 Introduction: The “Sidecar” Strategy for Modern BI Most enterprise BI platforms were designed for repeatable reporting, not for open-ended questions asked in the middle of a business conversatio
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Operational Dashboards at Milli-Scale: Materialized Views, Columnstore & Redis Read Models
- Sudhir Mangla
- Data Analytics , Data Engineering
- 05 Dec, 2025
1 The Latency Gap: Why Standard Queries Fail at Scale Operational dashboards succeed only if they stay fast. When a dispatcher refreshes a fleet view or a support agent checks live customer metric
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Building Production-Ready Dashboards in Python with Streamlit + DuckDB: From Raw Files to Enterprise-Grade Analytics
- Sudhir mangla
- Data Analytics , DevOps & CI/CD
- 10 Sep, 2025
1 Introduction: The Need for Speed and Simplicity in Data Apps Data is only valuable if decision-makers can interact with it quickly, confidently, and at scale. Yet most organizations still feel t
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Conversational Analytics: Building a Production-Ready Natural Language Query Engine for SQL with Semantic Kernel and .NET
- Sudhir mangla
- AI & Machine Learning , Data Analytics
- 28 Aug, 2025
1 The Dawn of Conversational Data: Beyond the Dashboard The promise of data-driven decision-making has always been tantalizing: a world where every team member, regardless of technical skill, can
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The Self-Writing Report: Architecting Automated Business Insights with Azure OpenAI and Power BI
- Sudhir mangla
- AI & Machine Learning , Data Analytics
- 23 Aug, 2025
Executive Summary / Abstract For decades, business intelligence (BI) has been dominated by static dashboards and manual interpretation. While these dashboards excel at visualizing what happened,
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