Data Resources

Context Engineering Is a Must-Learn Skill: Here's How Everyone Can Master It

Learn context engineering to build better AI apps. This guide covers key techniques, practical examples, and resources to master this essential AI skill.

February 9, 2026

by Rambabu Bandam

· 2,407 Views · 1 Like

An AI-Driven Architecture for Autonomous Network Operations (NetOps)

NetOps teams often face a skills gap when troubleshooting complex infrastructure. This article presents an automation pattern for an AI co-pilot for incident response.

February 9, 2026

by Dippu Kumar Singh

· 1,605 Views

Model Context Protocol Vs Agent2Agent: Practical Integration with Enterprise Data

MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.

February 9, 2026

by Ram Ghadiyaram

CORE

· 1,758 Views · 1 Like

The Real Cost of DevOps Backup Scripts

Backup scripts are one way to protect data, but are they the most secure backup solution? Let’s explore the potential alternatives.

February 6, 2026

by Milosz Jesis

· 686 Views

Hybrid Vector Graph with AI Agents for Software Test Case Creation

This article shows how multi-agent, vector-graph systems automate test creation, cutting manual effort while increasing coverage.

February 6, 2026

by Mohanakrishnan Hariharan

· 1,087 Views

How to Achieve More Accurate Data Extraction From Invoices

Document extraction accuracy improves most when multiple independent sources with failure modes are combined, and values are selected based on weighted agreement.

February 6, 2026

by Viacheslav Maksimov

· 548 Views

Architecting Immutable Data Integrity with Amazon QLDB and Blockchain

Hashing detects tampering, but it doesn't prevent it. Here is an architectural pattern for securing business-critical files using Amazon QLDB and the Symbol Blockchain.

February 5, 2026

by Dippu Kumar Singh

· 1,002 Views

AI RAG Architectures: Comprehensive Definitions and Real-World Examples

Learn the three production-proven Modern RAG architectures Basic, Agentic, and Multi-Agent RAG and how to choose the right one based on cost, complexity, and scale.

February 5, 2026

by Ram Ghadiyaram

CORE

· 2,703 Views · 1 Like

Semantic Contracts: The Missing Layer Between Good Data and Reliable AI

Semantic contracts prevent silent data and AI failures by enforcing shared data meaning and assumptions across pipelines in CI and at runtime.

February 4, 2026

by Vivek Venkatesan

· 3,051 Views · 1 Like

Oracle Data Loading Reimagined: Performance Strategies for Modern Workloads

Combining direct path loading, parallelism, partitioning, index strategy, NOLOGGING, and tuned commits can reduce Oracle data load times by 70–90% in production.

February 4, 2026

by arvind toorpu

CORE

· 872 Views

How to Verify Domain Ownership: A Technical Deep Dive

A practical guide to implementing the three standard domain verification methods: DNS TXT, meta tags, and file-based verification.

February 3, 2026

by Illia Pantsyr

· 2,281 Views · 1 Like

Token-Efficient RAG: Using Query Intent to Reduce Cost Without Losing Accuracy

Retrieval-Augmented Generation (RAG) optimization technique to reduce the number of tokens required to generate a response while maintaining response accuracy.

February 3, 2026

by Varun Setia

· 901 Views

How Global Payment Processors like Stripe and PayPal Use Apache Kafka and Flink to Scale

How top payment processor companies like Stripe, PayPal, Payoneer, and Worldline use data streaming for real-time payments and fraud detection.

February 3, 2026

by Kai Wähner

CORE

· 1,662 Views · 3 Likes

How Audiences Become Addressable in Programmatic Advertising: Identity, Data Flows, and Addressability

This article begins a series examining how identity functions in programmatic advertising, how audiences become addressable, and why common metrics fail.

February 2, 2026

by Sagar Ganapaneni

· 1,200 Views

From Test Automation to Autonomous Quality: Designing AI Agents for Data Validation at Scale

Autonomous quality uses AI agents to detect subtle data behavior shifts early, scaling trust beyond what traditional test automation can achieve.

February 2, 2026

by Sandip Gami

· 2,906 Views · 3 Likes

From LLMs to Agents: How BigID is Enabling Secure Agentic AI for Data Governance

BigID leverages agentic AI to move beyond traditional LLMs, enabling secure, autonomous data discovery, governance, and real-time decision-making at enterprise scale.

January 30, 2026

by Satish Gaddipati

· 1,861 Views · 1 Like

Essential Techniques for Production Vector Search Systems, Part 3: Filterable HNSW

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

January 30, 2026

by Pavan Vemuri

CORE

· 1,710 Views · 2 Likes

Preventing Cache Stampedes at Scale

High-concurrency systems — especially retail, travel, ticketing, or any “hot product” scenarios — often face cache stampedes (aka "thundering herd", "dogpiling"). Here's a practical pattern for managing concurrent data requests.

January 29, 2026

by Vikas Mittal

· 1,616 Views

Reliable AI Agent Architecture for Mobile: Timeouts, Retries, and Idempotent Tool Calls

Ship reliable mobile agents: timeout everything, retry by error class, persist steps across restarts, and require idempotency keys for write tools.

January 29, 2026

by Mohan Sankaran

· 2,097 Views · 6 Likes

Zero Trust for Agents: Implementing Context Lineage in the Enterprise Data Mesh

Agent identity and its audit history will enforce zero-trust access for agents based on both identity and past behavior. This makes agent access more secure and reliable.

January 28, 2026

by Anshul Pathak

· 2,055 Views · 1 Like

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