The Modern Data Stack, Explained - Simply
You’ve probably heard the term “modern data stack” everywhere.
But what does it actually mean?
And why does it matter?
Here’s the simple explanation - no jargon, no buzzwords.
The Modern Data Stack Is Just a Better, Cheaper, Faster Way to Handle Data
It solves three core problems:
Getting data in
Transforming it into something useful
Making it available across the business
The tools have changed - the logic hasn’t.
The Core Components
A modern data stack typically includes:
1. Cloud Data Platform
Snowflake / BigQuery / Redshift =The central place where all your data lives.
2. Ingestion Tools
Fivetran / Stitch / Airbyte = Automatically move data from systems into the warehouse.
3. Transformations
DBT = Turns raw data into clean, analytics-ready tables.
4. BI Tools
Power BI / Looker / Tableau - Visualise the cleaned data for decision-making.
This replaces hundreds of spreadsheets, manual workflows, and legacy pipelines.
Why It Matters in 2025
Because businesses need:
Real-time data
Reliability
Consistency
Scalability
Governance
Speed
Legacy systems (and Excel-based processes) simply can’t keep up.
How Hexagon Helps
We design and implement:
Data architecture
Warehouse migrations
dbt projects
Governance frameworks
Modern BI setups
So you get a clean, trusted, scalable data ecosystem.
Contact Us for Our Modern Data Stack Checklist https://www.hexagondata.co.uk/booknow