Data Engineering Resources

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

· 1,469 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

· 5,544 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

· 2,729 Views · 8 Likes

Talk to Your BigQuery Data Using Claude Desktop

Build an MCP server that lets Claude's desktop connect to your BigQuery data and converse with your data in natural language.

August 20, 2025

by Pavan Vemuri

CORE

· 5,335 Views · 9 Likes

Getting Started With PyIceberg: A Pythonic Approach to Managing Apache Iceberg Tables

If you're an ML Engineer and want to quickly run a feature engineering in your model, PyIceberg provides a lightweight implementation.

August 20, 2025

by Junaith Haja

· 2,451 Views · 3 Likes

Containerized Intelligence: Running LLMs at Scale Using Docker and Kubernetes

Deploy powerful LLMs easily using Docker and Kubernetes. Scale with GPUs, fine-tune models, and automate inference workloads effortlessly.

August 20, 2025

by Anjan Kumar Ayyadapu

· 11,842 Views · 5 Likes

How to Program a Quantum Computer: A Beginner's Guide

Build your first quantum programs using IBM Quantum Composer. Learn how qubits work, flip states with logic gates, and harness superposition to output 2 values.

August 19, 2025

by Kory Becker

· 3,234 Views · 5 Likes

Data Engineering for AI-Native Architectures: Designing Scalable, Cost-Optimized Data Pipelines to Power GenAI, Agentic AI, and Real-Time Insights

AI-native data platforms demand more than upgrades — learn how teams are building scalable systems for RAG, streaming, embeddings, and orchestration.

August 19, 2025

by Abhishek Gupta

CORE

· 3,159 Views · 2 Likes

What We Learned Migrating to a Pub/Sub Architecture: Real-World Case Studies from High-Traffic Systems

Kafka-powered migration of an e-commerce platform—focused on scalability, fault tolerance, and clean event-driven design.

August 19, 2025

by Ravi Teja Thutari

CORE

· 8,299 Views · 4 Likes

Building SQLGenie: A Natural Language to SQL Query Generator with LLM Integration

This article explores the journey of building SQLGenie, testing various Language Models (LLMs) to find the optimal solution for converting natural language to SQL queries

August 19, 2025

by Sangame Krishnamani

· 4,213 Views · 5 Likes

Agile AI Agents

Can ChatGPT’s Agent Mode really handle agile team tasks? I tested real use cases to see what it can do, what it misses, and where it needs improvement.

August 19, 2025

by Stefan Wolpers

CORE

· 1,894 Views · 3 Likes

Building a Secure and Unified Data Platform

Learn to build a secure GCP stack using a custom VPC, VM with private access, managed Cloud SQL PostgreSQL, and BigQuery for real-time federated queries.

August 19, 2025

by Vani Gundu

· 5,739 Views · 2 Likes

A Retrospective on GenAI Token Consumption and the Role of Caching

Caching is an important technique for enhancing the performance and cost efficiency of diverse cloud native applications, including modern GenAI applications.

August 19, 2025

by Bhala Ranganathan

CORE

· 2,034 Views · 1 Like

What’s Wrong With Data Validation — and How It Relates to the Liskov Substitution Principle

Most systems assume data is valid, causing redundant or missing checks. This article suggests modeling validated data as a separate type.

August 18, 2025

by Mykola Haliullin

· 2,087 Views · 3 Likes

Prompt-Based ETL: Automating SQL Generation for Data Movement With LLMs

Prompt-based ETL uses LLMs to convert plain English into validated, schema-aware SQL, automating data transformation and enabling self-serve analytics.

August 18, 2025

by Saisuman Singamsetty

· 6,870 Views · 4 Likes

Real-Time Analytics Using Zero-ETL for MySQL

Learn how to set up a zero-ETL integration from Amazon RDS for MySQL to Amazon Redshift using AWS CLI for real-time analytics without complex pipelines.

August 18, 2025

by Harpreet Kaur Chawla

· 1,930 Views · 2 Likes