Resources
Cloud & Data Guides
Long-form, practical guides on moving to cloud and building the data platform behind it — the checklists, trade-offs and cost realities we work through on real engagements.
On-Premise to Cloud Migration Checklist
The discovery, planning, cutover and validation steps that decide whether a migration lands cleanly — including the 6 Rs, wave planning and what to check before you sign off.
Read the guideData Warehouse vs Lakehouse: How to Choose
What actually separates a warehouse, a data lake and a lakehouse — the workloads each one suits, how the cost models differ, and how to pick without over-engineering.
Read the guideMigrating from Power BI to Looker
What a BI platform migration really involves: inventorying reports nobody uses, translating DAX into LookML, running both platforms in parallel, and switching off safely.
Read the guideWhy Your Cloud Bill Keeps Growing
The specific causes of cloud overspend — idle capacity, legacy sizing, forgotten storage, egress and non-production running overnight — and the order to fix them in.
Read the guideAWS vs Azure vs GCP: How to Choose a Cloud Provider
A grounded comparison of AWS, Azure and Google Cloud across compute, data services, pricing and ecosystem — and a decision framework that does not default to whichever vendor pitched loudest.
Read the guideWhat Is Apache Airflow? DAGs Explained
A plain-language introduction to Apache Airflow and Directed Acyclic Graphs (DAGs) — what they are, why data teams use them, and how a DAG actually runs in production.
Read the guideAirflow DAG Best Practices for Production Pipelines
The DAG design patterns that keep Airflow pipelines maintainable at scale — idempotency, task granularity, backfills, sensors, and the mistakes that turn a DAG into a support burden.
Read the guideAWS Cloud Migration: Services, Tools and Strategy
The AWS-specific services and tools that matter for a migration — Application Discovery Service, DMS, MGN, Landing Zone and the Migration Hub — mapped against the stage of the project where each one is used.
Read the guideMigrating to Google Cloud Platform (GCP): A Practical Guide
The GCP-specific tools and services that matter for a migration — Migrate to Virtual Machines, Database Migration Service, landing zone design and BigQuery Data Transfer — and where each fits.
Read the guideETL vs ELT: Which Approach Fits Your Data Stack
What actually changed between ETL and ELT, why cloud warehouses made ELT the default, and the cases where the older ETL pattern is still the right answer.
Read the guideSnowflake vs BigQuery vs Redshift: Comparing Cloud Data Warehouses
How the three leading cloud data warehouses actually differ in architecture, pricing model and operational effort — and which workload patterns favour each one.
Read the guideBatch vs Streaming: Choosing a Data Pipeline Architecture
When batch processing is genuinely the wrong answer, when streaming is overkill, and the hybrid patterns most real data platforms actually end up running.
Read the guideData Governance: A Practical Framework for Growing Teams
A data governance approach that does not require a dedicated governance team on day one — ownership, access control, quality checks and a metric layer that scales as the organisation grows.
Read the guideKubernetes for Data Platforms: When It Is Worth It
What Kubernetes actually solves for a data platform, the real operational cost of running it, and how to tell whether your platform genuinely needs it or would do just as well on managed services.
Read the guideCloud Security Basics: The Shared Responsibility Model
What AWS, Azure and GCP actually secure for you, what remains entirely your responsibility, and why most cloud data breaches are misconfiguration on the customer side of that line, not a provider failure.
Read the guideInfrastructure as Code with Terraform: A Practical Guide
Why hand-clicked cloud environments become a liability, how Terraform state actually works, and the module and workspace patterns that keep infrastructure code maintainable as it grows.
Read the guideNeed help putting this into practice?
We deliver cloud migration, data platform and modernisation work end to end — with a rollback plan at every step and documentation you keep.