Tejesh Raj Savansukha·2d agoDesigning a Modern Lakehouse with Databricks & DBT CloudA practical architectural perspective on combining scalable data engineering, modular transformations, centralized governance, and BI/AI…
Kumaran C.S·Oct 8dbt Incremental Models, Snapshots and HooksFull-refreshing every table on every run works fine until your data grows. This post covers three dbt features that help at scale…
Kumaran C.S·Oct 8dbt Tests: A Practical Guidedbt tests are SQL queries that look for problems. A test passes when it returns zero rows and fails when it returns any.
Kumaran C.S·Oct 7dbt Macros: From Basics to Adapter DispatchMacros are dbt’s answer to “I’ve copy-pasted this SQL five times.” They’re Jinja functions that render SQL at compile time, so you write…A response icon1A response icon1
Omax Tech·Sep 8Production Ready ( Quality, performance, and the lessons learned shipping to 150 stores ) | Omax…THE JOURNEY SO FAR: We chose dbt over custom scripts. Built observability with freshness checks and Elementary. Optimized with incremental…
Omax Tech·Sep 8Scaling from 15 to 150 Stores ( When copy-paste becomes technical debt, macros become salvation ) |…Previously on the dbt migration chronicles: We built a pipeline with observability, incremental models for performance, and snapshots for…
Manoranjan pandey | Data Enthusiast·Aug 17From Raw Data to Business Insights: A Deep Dive into DBTIt’s 2 AM, and you’re debugging an Informatica workflow that’s been running for 6 hours. The mapping has 47 transformations, three lookups…
Karthik Rajashekaran·Jul 23Stop Copy‑Pasting dbt Macros: Package Them Once, Import EverywhereHow we turned 20+ dbt projects’ duplicated macros into a single shared package
Lokesh K·Jul 15dbt State of Mind: When State-Based Runs Save Dollars — and When They Don’tFive real scenarios. One decision framework. Zero guesswork about when state actually helps.
