Data Engineering Resources

Scaling Real-Time Data Systems With DataOps: Principles, Practices, and Use Cases

Learn how DataOps principles like CI/CD, schema versioning, and observability improve reliability in real-time streaming data pipelines.

August 27, 2025

by Tulika Bhatt

· 1,436 Views · 2 Likes

How To Build an AI-Powered Search Bar With Vector Embeddings and OpenAI

Use OpenAI embeddings with FAISS to power a search that understands meaning, so queries match relevant content even without exact keywords.

August 27, 2025

by Mohit Menghnani

CORE

· 3,004 Views · 1 Like

Apigee Edge to Apigee in GCP Migration—Replacing ExtensionCallout policy With MessageLogging Policy for Logging

Migrating to Apigee on Google Cloud offers better scalability and security but comes with challenges like cost, vendor lock-in, and potential performance issues.

August 27, 2025

by Pragya Keshap

· 1,794 Views · 2 Likes

Data Splits in Machine Learning: Training, Validation, and Test Sets

Proper data splitting in machine learning prevents leakage, reduces overfitting, and ensures reliable model performance for real-world deployment.

August 27, 2025

by Kacper Michalik

· 4,351 Views · 1 Like

Toward Explainable AI (Part 3): Bridging Theory and Practice—When Explaining AI Is No Longer a Choice

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

August 27, 2025

by Frederic Jacquet

CORE

· 1,936 Views · 8 Likes

Benchmarking Storage Performance (Latency, Throughput) Using Python

Benchmarking AWS S3 with Python reveals latency and throughput differences across storage classes, helping you balance speed, cost, and reliability.

August 26, 2025

by Arjun Mullick

· 6,110 Views · 1 Like

From Simple Lookups to Agentic Reasoning: The Rise of Smart RAG Systems

RAG has grown from basic retrieval to agent-like AI, gaining memory, smarter routing, HyDe, adaptive search, and fact checks to deliver better, grounded answers.

August 26, 2025

by Naresh Dulam

· 4,532 Views · 4 Likes

Building AI-Driven Anomaly Detection Model to Secure Industrial Automation

Learn to build an AI model for anomaly detection in industrial automation—a case study using LSTM as a feature extractor and Decision Tree as a classification model.

August 26, 2025

by Tanu Jain

· 2,003 Views · 1 Like

A Comparative Analysis of GitHub Copilot and Copilot Agent: Architectures, Capabilities, and Impact in Software Development

Explore how GitHub Copilot and Copilot Agent enhance software development—from smart code completion to autonomous project-wide refactoring and testing.

August 26, 2025

by Devdas Gupta

· 14,591 Views · 6 Likes

Java 21 Virtual Threads vs Cached and Fixed Threads

Discover how Java concurrency improved from Java 8’s enhancements to Java 21’s virtual threads, enabling lightweight, scalable, and efficient multithreading.

August 26, 2025

by Milan Karajovic

· 15,023 Views · 11 Likes

Zero-Latency Data Analytics for Modern PostgreSQL Applications

Learn in this article how to set up Amazon RDS for PostgreSQL zero-ETL integration with Amazon Redshift for near-real-time analytics using the AWS CLI.

August 26, 2025

by Harpreet Kaur Chawla

· 2,725 Views · 2 Likes

The Benefits of AI Micromanagement

Feeding AI relevant, structured context turns generic advice into targeted, high-impact solutions. See in this article how context quality shapes results.

August 26, 2025

by Stefan Wolpers

CORE

· 1,923 Views · 4 Likes

Transforming Data into Decisions: Crafting Generative AI That Delivers Accurate Intelligence

This article explores how integrating rigorous data practices, and machine learning techniques can elevate the performance of generative AI systems.

August 25, 2025

by SrinivasaRao Thota

· 2,162 Views · 3 Likes

Debugging Distributed ML Systems

My ML model misclassified groceries as entertainment. Distributed tracing with OpenTelemetry and Jaeger helped me quickly find a caching bug causing it.

August 25, 2025

by Ramya Boorugula

· 1,656 Views

A Beginner’s Guide to Hyperparameter Tuning: From Theory to Practice

Hyperparameter tuning is critical to optimizing machine learning models, significantly enhancing their performance. This article provides an accessible guide to tuning.

August 25, 2025

by Shailendra Prajapati

· 1,403 Views

AI Data Security: Core Concepts, Risks, and Proven Practices

AI boosts threat detection and response, but brings risks like data poisoning, model leaks, and insider threats. Learn how to protect your systems.

August 25, 2025

by Alex Macgasm

· 2,815 Views · 2 Likes

Agent-to-Agent Protocol: Implementation and Architecture With Strands Agents

Strands Agents SDK supports multiple AI providers (Anthropic, OpenAI, Amazon Bedrock, etc.) and integrates with thousands of tools via Model Context Protocol (MCP).

August 25, 2025

by Rakesh Kumar Pal

· 2,525 Views · 2 Likes

Building a 3D WebXR Game with WASI Cycles: Integrating WasmEdge, Wasmtime, and Wasmer to Invoke MongoDB, Kafka, and Oracle

Develop Fullstack WASM and WASI using all the most popular frameworks, databases, frontends, etc., from top to bottom, including source code

August 25, 2025

by Paul Parkinson

· 2,413 Views · 4 Likes

Orchestrating Complex Workflows With XState

Using XState to orchestrate backend workflows with serverless and container-based approaches and drawing performance comparisons.

August 25, 2025

by Abhiram Kandiraju

· 4,313 Views · 2 Likes

Toward Explainable AI (Part 2): Bridging Theory and Practice—The Two Major Categories of Explainable AI Techniques

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

August 25, 2025

by Frederic Jacquet

CORE

· 1,192 Views · 4 Likes

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