Data Engineering Resources

Azure Cosmos DB Playground: Learn and Experiment With Queries in Your Browser

Interactive, browser-based Azure Cosmos DB playground to learn, prototype, and test SQL queries instantly — no setup, installation, or cloud costs required.

March 30, 2026

by Abhishek Gupta

CORE

· 990 Views

The Aggregate Reference Problem

How can one aggregate reference another aggregate’s data while preserving strict ownership boundaries? That is the aggregate reference problem.

March 30, 2026

by Jan Nilsson

· 978 Views

Scaling AI Workloads in Java Without Breaking Your APIs

Learn how to scale AI inference workloads in Java using async and event-driven patterns, maintaining stable APIs while improving performance and resilience.

March 27, 2026

by Ramya vani Rayala

· 3,869 Views · 3 Likes

Designing High-Concurrency Databricks Workloads Without Performance Degradation

Enable liquid clustering and auto-optimize by default. They handle layout, conflicts, and compaction automatically as workloads scale.

March 27, 2026

by Seshendranath Balla Venkata

· 3,879 Views · 3 Likes

Why Good Models Fail After Deployment

Learn how feedback loops, distribution shift, and metric misalignment break machine learning systems in production, and what you can do about it.

March 27, 2026

by Oleksandr Pyvovar

· 8,315 Views · 51 Likes

The Self-Healing Endpoint: Why Automation Alone No Longer Cuts It

Partial, script-based automation is hitting a ceiling — so organizations are moving toward autonomous endpoint management systems.

March 27, 2026

by Anton Lucanus

CORE

· 2,916 Views

Engineering High-Performance Real-Time Leaderboard

Replaced slow slice-based leaderboard with indexed skip list + hash IDs, cutting updates to <1ms and stabilizing CPU/memory under loads.

March 27, 2026

by Ivan Balashov

· 2,963 Views · 1 Like

Essential Techniques for Production Vector Search Systems, Part 5: Reranking

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

March 27, 2026

by Pavan Vemuri

CORE

· 2,139 Views

Designing Stop Loss in Modern AI-Driven Automated Trading Systems

Stop losses are usually considered a no-brainer in automated trading setups. Any novice entering the space gets taught to use stop losses.

March 27, 2026

by Ruslan Malsagov

· 2,410 Views · 1 Like

Stop Leap-Second AI Drift in IoT Streams With PySpark

Leap seconds can corrupt timestamps and trigger AI drift in fintech IoT systems. Learn about drift types and how PySpark streaming fixes them in real time.

March 27, 2026

by Ram Ghadiyaram

CORE

· 2,061 Views · 1 Like

From Stream to Strategy: How TOON Enhances Real-Time Kafka Processing for AI

The TOON data format specifically targets the propagation of structured, validated, and semantically consistent data, thereby reducing ambiguity in real time.

March 27, 2026

by Gautam Goswami

CORE

· 1,896 Views

DNS Propagation Doesn't Have to Take 24 Hours

DNS propagation doesn’t have to take 24–48 hours. Learn how TTL settings control DNS caching and how to make updates in minutes, not days.

March 27, 2026

by Karl Hughes

· 2,411 Views · 2 Likes

Secure Managed File Transfer vs APIs in Cloud Services

APIs handle real‑time interactions; secure MFT handles large, compliant transfers. A hybrid approach delivers both speed and reliability.

March 27, 2026

by Anil Soni

· 3,059 Views · 1 Like

Automating Maven Dependency Upgrades Using AI

Build an AI-driven Maven dependency upgrade pipeline that detects outdated libraries, applies safe updates, generates notes, and auto-creates tested PRs.

March 26, 2026

by Sravan Reddy Kathi

· 3,610 Views · 2 Likes

MinIO AIStor and Ampere® Computing Reference Architecture for High-Performance AI Inference

MinIO AIStor delivers high-performance, scalable object storage for AI workloads with Ampere CPUs, optimized for inference, analytics, and cloud-native environments.

March 26, 2026

by Tinh Nguyen

· 2,373 Views · 1 Like

Microsoft Responsible AI Principles Explained for Engineers

This is for engineers, architects, and ML practitioners who want to move beyond theory. It reframes Microsoft’s responsible AI principles as engineering responsibilities

March 26, 2026

by Indirakumar Rajendiran

· 2,509 Views · 1 Like

Isolation Boundaries in Multi-Tenant AI Systems: Architecture Is the Only Real Guardrail

In multi-tenant AI systems, true isolation needs structural boundaries across storage, vector namespaces, execution, and queue layers to survive retries and concurrency.

March 26, 2026

by Aditya Gupta

· 2,145 Views

Stateful AI: Streaming Long-Term Agent Memory With Amazon Kinesis

Stream every agent interaction into vector memory for real-time, scalable, persistent, fully queryable, and context-rich AI memory.

March 26, 2026

by Jubin Abhishek Soni

CORE

· 2,196 Views

Building Centralized Master Data Hub: Architecture, APIs, and Governance

This article provides an overview of centralized master data hub for enterprises applications from fragmented master data managing in different systems.

March 26, 2026

by Ravi Kiran Mallidi

CORE

· 2,514 Views

From 30s to 200ms: Optimizing Multidimensional Time Series Analysis at Scale

Do multidimensional anomaly detection at scale, sharing strategies to speed up time series queries, achieving consistent sub-second performance.

March 26, 2026

by Suvodeep Pyne

· 2,411 Views

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