From POC to Production: Near Real-Time Supply Chain Analytics with Databricks SQL
A large logistics and supply chain organization operates hundreds of physical warehouse sites. These warehouses rely on industry-standard Warehouse Management Systems (WMS) such as Blue Yonder, Manhattan, and similar applications to manage daily operations. These systems continuously capture operational events such as: Inventory movements and adjustments Orders and order line items Picks, packs, shipments, and […]
Scaling Analytics Without Chaos: A Modular dbt Mesh for Multi-Team Setups
Introduction As data platforms grow, teams often encounter the same challenge: multiple projects need the same foundational datasets, yet duplicating transformations across projects quickly becomes difficult to maintain. A scalable approach is to separate shared data assets from domain-specific transformations. In this architecture, a shared dbt project produces reusable, governed models, while consumer projects build […]
Analytics Engineering in Practice: Real-World Data Modeling with dbt
This is part 2 of our blog series exploring Analytics Engineering with dbt on Databricks SQL, covering everything from foundational concepts to production-ready pipelines. Refer part 1: From Raw Data to Analytics-Ready: Getting Started with dbt on Databricks SQL Introduction to dbt and Its Building Blocks Comprehensive and well-structured documentation is already available on the […]
From Raw Data to Analytics-Ready: Getting Started with dbt on Databricks SQL
This blog series explores analytics engineering with dbt on Databricks SQL, covering everything from foundational concepts to production-ready pipelines. Part 1 – Introduction to dbt with Databricks SQL Introduces dbt fundamentals and demonstrates real-world integration with Databricks SQL. Part 2 – Analytics Engineering in Practice: Real-World Data Modeling with dbt Examines proven data modelling approaches and best practices drawn […]
A Practical Guide to Scoping Business & Data Requirements for Analytics Projects
In high-performing organizations, analytics is expected to inform decisions, create efficiencies, and unlock business value. Yet, many initiatives fall short—not because of technical shortcomings, but due to unclear goals, misaligned expectations, or incomplete data requirements from the very beginning. 🧩 The quality of your use case outcome depends entirely on the clarity of your inputs—starting with […]