Data Lakehouse on AI VOID

Ingesting Raw Supply Chain Events with DLT Bronze Layer

Sat, 20 Dec 2025 00:00:00 +0000

Ingesting Raw Supply Chain Events with DLT Bronze Layer

Chapter Introduction

In this chapter, we embark on the crucial first step of our real-time supply chain analytics journey: ingesting raw supply chain events into our data lakehouse. We will leverage Databricks Delta Live Tables (DLT) to build a robust, fault-tolerant, and scalable pipeline that continuously reads event data from Apache Kafka and lands it into a “Bronze” Delta table. The Bronze layer serves as the raw, immutable historical record of all ingested data, preserving the original state of events as they arrive.

Ingesting Raw Supply Chain Events with DLT Bronze Layer

Sat, 20 Dec 2025 00:00:00 +0000

Ingesting Raw Supply Chain Events with DLT Bronze Layer

Chapter Introduction

Building the Customs Trade Data Lakehouse & HS Code Validation

Sat, 20 Dec 2025 00:00:00 +0000

Chapter 9: Building the Customs Trade Data Lakehouse & HS Code Validation

Welcome to Chapter 9 of our real-time supply chain project! In this chapter, we will lay the foundation for intelligent customs trade data analysis by building a robust Data Lakehouse. Specifically, we’ll focus on ingesting and preparing customs declaration data, establishing a master data repository for HS (Harmonized System) codes, and setting up initial data quality validation using Databricks Delta Live Tables (DLT).

Building the Customs Trade Data Lakehouse & HS Code Validation

Sat, 20 Dec 2025 00:00:00 +0000