Data Engineering Resources

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

· 2,158 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

· 2,382 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

· 1,869 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

· 1,601 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

· 3,137 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

· 2,832 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

· 2,811 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

· 4,715 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

· 1,381 Views · 4 Likes

From History to the Future of AI Communication—IPC to MCP and A2A

MCP and A2A are stablishing standards while existing middleware markets are promising to provide the rails. The comparison and the outlook.

August 22, 2025

by Shashi Kumar

· 2,573 Views · 1 Like

SHAP-Based Explainable AI (XAI) Integration With .Net Application

Explainable AI (XAI) reveals how ML models make decisions. Learn about SHAP, LIME, model-specific and agnostic methods, and how to deploy SHAP as a REST API.

August 22, 2025

by Indirakumar Rajendiran

· 3,603 Views · 1 Like

Real-Time Model Inference With Apache Kafka and Flink for Predictive AI and GenAI

Learn how data streaming with Kafka and Flink enhances AI/ML model inference, enabling low-latency, scalable predictions in real-time business use cases.

August 22, 2025

by Kai Wähner

CORE

· 1,929 Views · 2 Likes

Data Lake, Warehouse, or Lakehouse? Rethinking the Future of Data Architecture

AI is driving data lakes, warehouses, and lakehouses to converge into open, real-time platforms powered by Iceberg, Trino, and DuckDB.

August 22, 2025

by Miguel Garcia

CORE

· 3,317 Views · 1 Like

Python Async/Sync: Advanced Blocking Detection and Best Practices (Part 2)

Master detecting hidden blocking sync code in Python async applications using timing wrappers, debug mode, profilers, and custom decorators for optimal performance.

August 22, 2025

by Prithviraj Kumar Dasari

· 5,168 Views · 5 Likes

Data Storage: The Foundation for Scalable Analytics

This article provides a blueprint to build a scalable data storage foundation using a three-step framework of 5Q, BSG, and HWC with practical application.

August 22, 2025

by Junaith Haja

· 1,576 Views · 3 Likes

Toward Explainable AI (Part I): Bridging Theory and Practice—Why AI Needs to Be Explainable

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

August 22, 2025

by Frederic Jacquet

CORE

· 2,978 Views · 6 Likes

Greenplum vs Apache Doris: Features, Performance, and Advantages Compared

Compare Greenplum vs. Apache Doris for MPP-based analytics. Learn which database suits real-time, high-concurrency workloads and evolving data architectures.

August 21, 2025

by li yy

· 2,880 Views · 2 Likes

Comparing Cassandra and DynamoDB: A Side-By-Side Guide

Compare Apache Cassandra and Amazon DynamoDB across features, scalability, cost, and use cases to choose the right NoSQL database for your next project.

August 21, 2025

by RENJITH RAMACHANDRAN

· 2,455 Views · 2 Likes

Securing Cloud Applications: Best Practices for Developers

Securing cloud applications requires IAM, encryption, API security, monitoring, DevSecOps, Zero Trust, compliance, and proactive threat detection.

August 21, 2025

by Bhanuprakash Madupati

· 54,039 Views · 9 Likes

AI-Powered Root Cause Analysis: Introducing the Incident Investigator

Resolve cloud incidents faster with the AI Incident Investigator — an agent that finds the root cause of production issues and explains them in plain English.

August 21, 2025

by Marija Naumovska

CORE

· 3,144 Views · 3 Likes

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