Contact us

dbt Core vs dbt Platform: Modern Data Transformation with dbt (Part 1)

Ephemeral containers (small floating cubes or boxes) dynamically appear and disappear along the pipeline -dbt Core vs dbt Platform

dbt Core and the dbt Platform use the same transformation engine but differ in deployment, governance, and operational approach. This blog explores where dbt fits in the modern data stack, the strengths of each option, and how teams can choose the right solution based on size, maturity, and workflow requirements.

On-Demand dbt Execution: Rethinking Analytics Engineering in Secure Cloud Environments 

Ephemeral containers (small floating cubes or boxes) dynamically appear and disappear along the pipeline, symbolising on-demand dbt execution.

In secure enterprise cloud environments, traditional dbt deployment models can introduce unnecessary cost, security risk, and operational friction. This blog explores an on-demand, containerised dbt execution model that treats dbt as an ephemeral workload rather than a long-running service. Orchestrated with AWS MWAA and backed by ECS Fargate, the approach enables scalable, secure analytics transformations while improving cost efficiency, data quality observability, and CI/CD integration in modern enterprise data lakes.

Transforming Data Engineering with DevOps on the Databricks Platform 

Transforming Data Engineering with DevOps on the Databricks Platform - A data pipeline morphing into a sleek, automated production line or circuit pattern

The role of the Data Engineer is rapidly changing, from writing ETL scripts to engineering production-grade data products. On the Databricks Lakehouse Platform, this shift demands more than technical know-how; it requires a DevOps mindset. By embracing software engineering best practices, automated testing, and CI/CD pipelines, data teams can deliver scalable, reliable, and secure solutions. This blog explores how DevOps principles and tools like Git Folders and Databricks Asset Bundles are transforming data engineering into a discipline of continuous innovation and delivery.

Data Strategy Diagnostic: Building a Robust Data Strategy on AWS

Cevo's Data Strategy Diagnostic

Data is everywhere but without a clear strategy, it can hold your business back instead of moving it forward. In this blog, we share how the AWS Data Strategy Diagnostic helps organisations assess their data maturity, uncover gaps, and build a practical roadmap to turn data into real business value.