Microsoft Fabric: Ingesting 5GB into Bronze Lakehouse via ADF
Ed Freeman demonstrates data ingestion from an HTTP source to OneLake using Data Factory in Microsoft Fabric, exploring Lakehouse tables, files, and pipelines.
About this talk
Tutorial
In this video Ed Freeman continues the Microsoft Fabric End-to-End demo series by seeing how we can quickly ingest ~5GB of data from an unauthenticated HTTP data source into OneLake using Data Factory in Microsoft Fabric. We'll see the distinction between Tables and Files in a Fabric Lakehouse, and look at how we can preview data in the Lakehouse explorer.
The talk contains the following chapters:
- 00:00 Introduction
- 00:15 Dataset recap
- 01:25 Workspace and pipeline artifacts
- 01:57 Pipeline UI layout
- 02:21 Copy data activity options
- 03:07 Configure copy data activity source
- 05:00 Configure copy data activity destination
- 06:21 Add dynamic content for destination Lakehouse filepath
- 08:21 Copy Data activity additional settings
- 09:00 Manually trigger pipeline
- 09:21 Alternative parameterized pipeline
- 11:38 Reviewing pipeline run details
- 12:10 Default workspace artifacts
- 13:04 Viewing Lakehouse Files
- 13:46 Roundup and outro
Useful links:
Microsoft Fabric End to End Demo Series:
- Part 1 - Lakehouse & Medallion Architecture
- Part 2 - Plan and Architect a Data Project
- Part 3 - Ingest Data
- Part 4 - Creating a shortcut to ADLS Gen2 in Fabric
- Part 5 - Local OneLake Tools
- Part 6 - Role of the Silver Layer in the Medallion Architecture
- Part 7 - Processing Bronze to Silver using Fabric Notebooks
- Part 8 - Good Notebook Development Practices
From Descriptive to Predictive Analytics with Microsoft Fabric:
- Part 1 - Overview
- Part 2 - Data Validation with Great Expectations
- Part 3 - Testing Notebooks
- Part 4 - Task Flows
- Part 5 - Observability
Microsoft Fabric First Impressions:
Decision Maker's Guide to Microsoft Fabric
and find all the rest of our content here.