Data engineering
Building ETL Pipelines That Don't Break: Idempotency, Schema Evolution & Recovery with Azure Data
- Sudhir mangla
- Data Engineering , Azure
- 15 Feb, 2026
1 Introduction: The Fragility of Modern Data Workflows Modern ETL systems move faster and integrate more sources than anything built a decade ago. APIs evolve without notice. SaaS vendors add or r
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Redis Beyond Caching: Streams, Pub/Sub, and Data Structures for Real-Time Applications
- Sudhir Mangla
- Data Engineering , Database
- 23 Jan, 2026
1 The Paradigm Shift: Redis as a Primary Multi-Model Database Redis is no longer just a fast in-memory cache sitting in front of a “real” database. Many teams now run Redis as a primary, latency-c
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Movie Review Aggregation: Web Scraping, Score Normalization, and Real-Time Updates like Rotten Tomatoes
- Sudhir Mangla
- Practical Design , Data Engineering
- 30 Dec, 2025
1 Architectural Blueprint: Moving Beyond Simple Scraping Most movie review aggregators begin as small utilities: fetch a page, scrape a number, store it somewhere. That works for a prototype, but
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The Apache Pulsar Advantage: Why Tencent Moved from Kafka - Multi-Tenancy, Geo-Replication, and Tiered Storage in Practice
- Sudhir Mangla
- Java , Data Engineering
- 17 Dec, 2025
1 Introduction: The Scale Ceiling and the Architectural Pivot Streaming platforms behave very differently once they move past “large” and enter true enterprise scale. At modest volumes, most archi
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ESPN-Scale Sports Platform Architecture for 10M Concurrent Fans | Real-Time Scores & Notifications
- Sudhir Mangla
- Practical Design , Data Engineering
- 15 Dec, 2025
1 The High-Concurrency Challenge: Defining the "World Cup" Scale An ESPN-scale sports platform that supports 10 million concurrent users, delivers live scores in real time, and sends **ove
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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 Uber's Dynamic Pricing Engine in .NET: Supply-Demand Algorithms, Geospatial Indexing, and Real-Time Market Simulation
- Sudhir Mangla
- Practical Design , Data Engineering
- 13 Nov, 2025
1 Building Uber’s Dynamic Pricing Engine in .NET: Supply-Demand Algorithms, Geospatial Indexing, and Real-Time Market Simulation Uber’s pricing engine is one of the most fascinating real-time syst
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Twitter's Trending Topics in .NET: Real-Time Stream Processing, Locality-Sensitive Hashing, and Geospatial Clustering
- Sudhir Mangla
- Practical Design , Data Engineering
- 11 Nov, 2025
1 The 500-Million-Tweet Challenge: Architecting for Velocity and Volume Every second, thousands of tweets flood the internet — news updates, memes, breaking events, and bots fighting for visibilit
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ClickHouse vs. Cassandra vs. ScyllaDB: Choosing a High-Ingest Database for Real-Time Analytics
- Sudhir Mangla
- Data Engineering , Database
- 22 Oct, 2025
1 Why high-ingest real-time analytics is hard (and worth it) In today’s world of digital services, sensors, user interactions, and complex systems, the demand isn’t just for storing massive volume
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Graph Problems on Relational Systems: SQL Server Graph vs. Neo4j—When to Choose What
- Sudhir mangla
- Database , Data Engineering
- 05 Sep, 2025
1 Introduction: The Inevitable Rise of Connected Data Relational databases have been the backbone of enterprise systems for decades. They excel at structured, transactional workloads—think invento
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Change Data You Can Trust: An Architect's Guide to CDC, Auditing, and CQRS in .NET
- Sudhir mangla
- .NET , Data Engineering
- 01 Sep, 2025
1 The Inevitability of Change: Why Capturing Data Evolution is Mission-Critical Every system we design in .NET eventually collides with the same truth: data does not stay still. Orders are created
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TempDB Under Pressure: The Architect's Guide to Diagnosing and Fixing SQL Server's Hidden Bottleneck
- Sudhir mangla
- AI & Machine Learning , Data Engineering
- 31 Aug, 2025
Executive Summary Data governance is no longer a passive, manual process of rule-making. In the era of petabyte-scale data lakes and stringent privacy regulations, it must be an active, automated
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From Data to Docs: A Blueprint for Using GenAI to Automatically Document Datasets and Analytics
- Sudhir mangla
- Generative AI , Data Engineering
- 24 Aug, 2025
1 The Documentation Dilemma: Why Your Best Data is Your Most Obscure Asset Every senior developer, data architect, or tech lead has felt the sting of missing or outdated documentation. The databas
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Modeling the Real World: A Practical Guide to Building Enterprise-Scale Digital Twins with .NET and Azure Digital Twins
- Sudhir mangla
- Data Engineering , Cloud Architecture
- 29 Jul, 2025
1 Introduction: Beyond the Hype – Digital Twins as a Strategic Imperative Digital twins have moved beyond buzzwords and glossy vendor presentations. In the context of modern enterprises, digital t
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The Modern Data Lakehouse: Architecting Analytics Platforms with Microsoft Fabric vs. AWS Glue & Redshift
- Sudhir mangla
- Cloud Architecture , Data Engineering
- 26 Jul, 2025
1 Introduction: The Evolution to the Data Lakehouse 1.1 The Convergence of Data Warehouses and Data Lakes Data architectures have undergone significant change over the past decade. Early on,
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The .NET Architect's Guide to Polyglot Persistence: Choosing the Right Database Mix (SQL, NoSQL, Vector, Graph)
- Sudhir mangla
- Database , Data Engineering
- 20 Jul, 2025
1 Introduction: The End of the One-Size-Fits-All Database 1.1 The Illusion of the "Perfect" Database For decades, solution architects and senior developers building on the Microsoft stack gra
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Beyond Queues: Architecting Real-Time Data Streaming and Analytics Pipelines in .NET with Kafka and Apache Flink
- Sudhir mangla
- Data Engineering , Software Architecture
- 16 Jul, 2025
1 Introduction: The Evolution from Batch to Real-Time 1.1 The Limitations of Traditional Batch Processing For decades, businesses relied on nightly batch jobs to process transactional data. T
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The Sharding Pattern: An Architect’s Guide to Achieving Massive Database Scalability
- Sudhir mangla
- Database , Data Engineering
- 24 Jun, 2025
Abstract The relentless growth of data and user activity in modern applications quickly turns even the best-designed databases into bottlenecks. As organizations push the limits of performance, av
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The Index Table Pattern: A Practical Guide for Software Architects
- Sudhir mangla
- Cloud Design Patterns , Data Engineering
- 08 Jun, 2025
1 Introduction to the Index Table Pattern 1.1 What is the Index Table Pattern? In the world of scalable data architectures, one challenge stands out: efficiently querying large datasets when
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