Data Engineering Resources

Multilingual Conversational Payments Chatbot Architecture: Enterprise RAG With Safety Guardrails, Human Handoff, and Multi-Modal Support

A retrieval-augmented generation (RAG) pipeline that grounds LLM responses directly in your website/document content to prevent hallucinations.

September 4, 2026

by Sriram Ramakrishnan

· 2,884 Views · 2 Likes

Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG

Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.

September 4, 2026

by Uthej Mopathi

CORE

· 3,037 Views · 3 Likes

Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines

Build an agentic RAG system that plans retrieval, grades results, reformulates queries, and self-checks answers to improve grounding.

September 4, 2026

by Balaji Venkatasubramaniyar

CORE

· 3,382 Views · 2 Likes

MCP for Enterprise Tasks: Making the Rare Frequent Enough to Master

Agentic clients via MCP are a new human interface to old software. They are an appealing choice: they use native language. But it is not always the wise approach.

September 4, 2026

by Peter Verhas

CORE

· 2,639 Views · 2 Likes

Why I Don't Want an LLM Generating Java Business Logic

Why do you need a DSL when an LLM generates business logic more than ever? To limit what generated code can do with allow-lists, not deny-lists.

September 4, 2026

by Peter Verhas

CORE

· 3,433 Views · 2 Likes

Video and Audio as Knowledge Sources: Content Understanding in Microsoft Foundry IQ

Turn video and audio recordings into searchable, citable knowledge for Microsoft Foundry IQ using Azure Content Understanding, MarkItDown, and structured metadata.

September 4, 2026

by Jubin Soni, FBCS

CORE

· 5,090 Views · 4 Likes

Designing Safe Agent Permissions: Why Least Privilege Must Exist Outside the Model

AI agents need least-privilege permissions, scoped identities, and policy controls to safely execute actions without exceeding their intended authority.

September 4, 2026

by Igboanugo David Ugochukwu

CORE

· 3,218 Views · 2 Likes

Enterprises Should Assume AI Agents Will Delete Their Production Base

AI agents will eventually take a destructive action your stack never planned for. Here are five ways to strengthen your identity strategy before agents find the gaps.

September 3, 2026

by Meir Wahnon

· 2,726 Views · 3 Likes

Your Spark Job Isn't Slow Because of Bad Code. It's Slow Because of the Wrong Join

Apache Spark job performance issues are frequently caused by improper join strategies leading to excessive data shuffling, rather than suboptimal code.

September 3, 2026

by Syed Siraj Mehmood

· 2,475 Views · 2 Likes

Building a Python API Client That Doesn’t Fall Apart When the API Misbehaves

Build a safer Python API client with timeouts, selective retries, exponential backoff, jitter, and better handling of rate limits and temporary failures.

September 3, 2026

by Ally Garcia

· 2,497 Views · 4 Likes

Making Running Optional: Scaling AI Agents on Kubernetes With Agent Substrate

Learn how an early-stage open-source project separates workload lifecycle from compute allocation for bursty, stateful, and massively concurrent AI workloads.

September 3, 2026

by Mayowa Fajobi

· 3,029 Views · 1 Like

Extracting Entities and Relationships From Engineering Documents With spaCy

Learn how to extract domain-specific entities and relationship triples from engineering documents using spaCy, custom entity rules, and Python.

September 2, 2026

by Sriharsha Makineni

· 2,686 Views · 3 Likes

Best Practices for Handling Bad Data in Stream Processing Platforms

Learn best practices for handling bad data in stream processing, from schema validation and duplicate detection to dead-letter queues, monitoring, and data lineage.

September 2, 2026

by Gautam Goswami

CORE

· 2,623 Views · 3 Likes

Golden Prompts: Turning AI Prompting into an Engineering Practice

Golden prompts turn ad hoc AI prompting into reusable, governed engineering assets for consistent, secure, high-quality outcomes.

September 2, 2026

by Josephine Eskaline Joyce, Ph.D

CORE

· 3,075 Views · 2 Likes

3D Air Quality Maps With Neo4j, Python, and R

Fetch AQI data from IQAir, store it in Neo4j, then visualize it with pydeck, Leaflet and R, plus Cypher queries showing what graph-native analysis looks like.

September 2, 2026

by Akmal Chaudhri

CORE

· 2,363 Views · 1 Like

Beyond Agent-Washing: The Engineering Principles Behind Production-Ready AI Agents

Enterprise AI agents need secure execution boundaries, deterministic logic, identity, governance, and auditing—not just intelligent models—to safely act in production.

September 2, 2026

by Igboanugo David Ugochukwu

CORE

· 3,290 Views · 1 Like

Enterprise Architecture in the AI Era: Tools, Capabilities, and the Road to Autonomy

EA tools centralize business and IT data to improve alignment, governance, decision-making, and portfolio management while enabling AI-driven automation.

September 1, 2026

by Dr Gopala Krishna Behara

CORE

· 4,808 Views · 4 Likes

Ampere PMU Profiler: A Guide to Microarchitecture Profiling

APP uses PMU metrics to pinpoint CPU stalls, cache misses, and other microarchitectural bottlenecks on Ampere processors

September 1, 2026

by Bhakti Hinduja

· 3,023 Views · 3 Likes

Designing Replay-Safe CDC Pipelines With Kafka, Debezium, and Recovery Contracts

How to design CDC pipelines with Kafka, Debezium, idempotent writes, deterministic projections, replay workflows, reconciliation checks, and recovery evidence.

September 1, 2026

by Ishan Shah

· 3,362 Views · 2 Likes

Your Quantized LLM Is Not Slow Because of the Quantization

My 2-bit model was slow because of a 778 MB memory copy per token, not the quantization. Profile what you did not compress.

September 1, 2026

by Pier-Jean MALANDRINO

CORE

· 2,858 Views · 1 Like

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