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The Peliqan blog

Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.

API rate limits - an AI agent consuming the hourly request budget and triggering 429 errors

API rate limits: why AI agents burn through them fast

API rate limits cap how many requests you can send to a system in a given time. AI agents hit them faster than people do, because one question can trigger

CLI vs MCP - token cost per operation, roughly 200 versus 50,000

CLI vs MCP: when a direct query beats an MCP call

CLI vs MCP is the wrong fight to pick as “which is better” – they win in different places. A direct CLI or SQL call is cheaper per operation and

history-tables-feature-image

History tables: why your warehouse only knows “now”

A history table keeps a dated record of how your data looked over time, instead of only its latest state. Without one, a status change overwrites the old value and

Semantic model - three teams define active customer three different ways

Semantic model: why business teams need one for AI now

A semantic model is a written-down layer of meaning on top of your raw data: it says what “revenue” means, how tables connect, and what each column actually holds. Without

Sync frequency by source - matching data freshness to the decision for AI agents

Sync frequency: how fresh does your AI agent need data?

Sync frequency is how often you copy data from a source into your warehouse. Set it too low and your AI agent answers from stale data; set it too high

MCP security - the production checklist for AI agents on business data

MCP security: what to actually configure in production

MCP security means five practical things: give the AI a limited key you can switch off, control what it can see at the database level, assume it might read a

Entity resolution - four system IDs resolved into one golden record

Entity resolution: one customer, four IDs, how to fix it

Entity resolution is the work of recognizing that a CRM account, an accounting debtor, a support organization and a billing customer are the same real-world company – and giving that

Multi-client reporting - one practice cockpit consolidating 50 client books

Multi-client reporting: one cockpit for 50 client books

Multi-client reporting is how accounting and ERP practices answer one question across every client book at once – overdue receivables, VAT filings at risk, declining margins – without logging into

Agent-ready data - the 5-point self-check for AI agents with scoring

Agent-ready data: the 5-point self-check before AI agents

Agent-ready data is data an AI agent can answer from correctly without guessing: fresh enough for the question, joined in one queryable place, resolved to real-world entities, permission-aware, and governed

Context layer comparison - Fabric IQ vs Cortex Sense vs Airbyte Context Store vs warehouse-first MCP

Context layer comparison: Fabric IQ, Cortex Sense & more

Three vendors launched a “context layer” within eight weeks: Microsoft’s Fabric IQ, Snowflake’s Cortex Sense and Airbyte’s Context Store. A fourth pattern – warehouse-first MCP – was already doing the

Data pipelines in Claude Code - a terminal session checking syncs and reading failure logs over MCP

Data pipelines in Claude Code: a real walkthrough

Claude Code can connect to your data platform over MCP and manage pipelines from the terminal: check what synced overnight, read failure logs, trace lineage before a risky change, and

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The Complete MCP Server Landscape 2026: 5 Families

The best MCP servers in 2026 don’t share a single shape. There are more than 10,000 active public MCP servers now, and they fall into five very different families, each

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