Data Engineering Resources

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

· 2,758 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

· 2,708 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

· 4,625 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

· 1,331 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

· 2,509 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

· 3,517 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

· 1,872 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

· 3,035 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

· 5,023 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

· 1,527 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

· 2,911 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

· 2,761 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

· 2,397 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

· 53,964 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

· 3,079 Views · 3 Likes

How to Build an AI-Powered Chatbot With Retrieval-Augmented Generation (RAG) Using LangGraph

RAG with LangGraph boosts LLM accuracy by retrieving data at runtime. Using OpenAI, FAISS, and modular nodes, it builds fast, factual, domain-aware chatbots.

August 21, 2025

by Mayukh Suri

· 3,220 Views · 1 Like

Design Automation in Closure Engineering: Building Parametric Assemblies With CATIA and VB Scripting

CATIA and VB scripting automate closures, boosting precision, reducing rework, and ensuring GD&T-compliant, production-ready models.

August 21, 2025

by Shrikant Chopade

· 2,073 Views · 2 Likes

Operationalizing the OWASP AI Testing Guide: Building Secure AI Foundations Through NHI Governance

Align your AI pipelines with OWASP AI Testing principles using identity-based insights to monitor, enforce, and audit secrets and token usage best practices.

August 20, 2025

by Dwayne McDaniel

· 1,502 Views · 3 Likes

MCP Client-Server Integration With Semantic Kernel

Learn to integrate Semantic Kernel with Azure OpenAI and MCP to discover tools, register them as functions, and enable AI agents to invoke them dynamically.

August 20, 2025

by Anup Rao

· 5,624 Views · 3 Likes

Prompt Engineering Wasn't Enough; Context Engineering Is What Came Next

Expanded context windows enable a shift from prompt engineering to context engineering, i.e., optimizing what AI accesses rather than how we ask.

August 20, 2025

by Pavan Vemuri

CORE

· 2,785 Views · 8 Likes

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