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data-engineering Articles

Data strategy insights, analytics best practices, and lessons from real projects.

Data Engineer Roadmap 2026: skills, tools, salary, and what AI actually changes
Data Engineering
Data Engineer Roadmap 2026: skills, tools, salary, and what AI actually changes

A practical 2026 roadmap for mid-level data engineers in the US: the skills that still matter, the ones AI made…

dbt 101: What You Need on Day 1 (and 10 Best Practices for the Day After)
Data Science
dbt 101: What You Need on Day 1 (and 10 Best Practices for the Day After)

You have a folder of 240 SQL files and no execution order. dbt is the answer to exactly that folder.…

Telegram in 2026: Still a Data Source, Now a Real Agent Platform
Data Science
Telegram in 2026: Still a Data Source, Now a Real Agent Platform

Most teams still treat Telegram the way they did in 2021: scrape a channel, pull a list, hope the API…

Claude Code on a data team: three rollouts, real numbers, and what we’d do differently
Data Engineering
Claude Code on a data team: three rollouts, real numbers, and what we’d do differently

Five engineers on Max plans, two months of receipts, and three rollouts (Fivetran, Metabase, MetaLens) with concrete time and cost…

How to Use dbt MCP with Claude Code (and Stop Grepping the Manifest)
AI for Data
How to Use dbt MCP with Claude Code (and Stop Grepping the Manifest)

How to set up dbt Labs' official MCP server with Claude Code, including a real legacy-project audit story, the read-only…

How to Use Fivetran MCP with Claude Code (and Stop Clicking Through Connector UIs)
AI for Data
How to Use Fivetran MCP with Claude Code (and Stop Clicking Through Connector UIs)

How to set up Fivetran's official MCP server with Claude Code, with a real client case study (HelpScout to BigQuery),…

Modern Data Stack 2026: The 5 Layers, Tools & Architecture
Data Analytics
Modern Data Stack 2026: The 5 Layers, Tools & Architecture

A practical 2026 guide to the modern data stack: ingestion, warehouse, transformation, BI, and orchestration. Tools compared, decision framework, FAQ,…

How to Use Metabase MCP with Claude Code: A Practical Walkthrough
AI for Data
How to Use Metabase MCP with Claude Code: A Practical Walkthrough

A practical walkthrough of using Metabase MCP with Claude Code on real client projects: dashboard audits in seconds, SQL from…

The Modern Data Stack for Startups: A Complete Guide for 2026
Data Strategy
The Modern Data Stack for Startups: A Complete Guide for 2026

The modern data stack for startups in 2026 costs $500-$3,000/month at the early stage and $3,000-$15,000/month at growth stage —…

ClickHouse in Consulting Practice: When We Reach for It (and When We Don’t)
Data Engineering
ClickHouse in Consulting Practice: When We Reach for It (and When We Don’t)

Fifteen production ClickHouse deployments later: when it earns its keep, when it bites, and how we decide between ClickHouse, Postgres…

ACID for Analytics Engineers: Why You Need It Until You Don’t
Data Engineering
ACID for Analytics Engineers: Why You Need It Until You Don’t

ACID for analytics engineers without the textbook. Where it breaks in dbt, ClickHouse, Snowflake pipelines, and how to design around…

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