In this video, we built an end to end project in Microsoft Fabric. We can read dynamic data from any website and store that data along with time intelligence in our lakehouse as a delta table. Once the table is built we can add the notebook into a pipeline with scheduled refreshes so as to allow data to be tracked and logged continuously. We build datasets and reports on top of this table and hence when we refresh reports at a later point in time our updated data is reflected automatically. Using Fabric Data Activator we can also receive notifications when thresholds are met and exceeded. This project provides the base technical knowledge and based on these fundamentals, complicated portfolio projects can be built. It is a stepping stone.
Exact Code Used in Git Hub : https://github.com/rehandominic/Micro...
Beautiful Soup Web Scraping Tutorial : • Web Scraping with Python - Beautiful ...
Topics Covered :-
Web Scraping in Microsoft Fabric
Microsoft Fabric Project
Web Scraping E-commerce Prices Using Microsoft Fabric
Building Reports in Microsoft Fabric
Scrape Website Data in Microsoft Fabric and Track Prices With Reports
Web Scrape Website Data
Web Scrape E-commerce price Data
Build Reports on Dynamic scraped website data
Data activator fabric notifications
Web Scraping Project in Microsoft Fabric
Building Time Intelligent Reports on Web Scraping Data
Fabric Lakehouse
Power BI Report
Microsoft Fabric
Data Analytics Project
Data Engineer Project
Data Science Project
Portfolio Project
Data Portfolio Project
Simple Data Projects
Microsoft Fabric End-to-end Project
Beautiful Soup
Keyword :-
Microsoft Fabric
Microsoft Fabric Lakehouse
Fabric Lakehouse
Fabric
Fabric Data analytics
Microsoft Fabric Data Analytics Platform
Onelake
Data Engineering
Data Science
Data Analysis
SAAS
Data Engineer
Data Scientists
Microsoft Fabric Tutorial
Fabric Tutorial
Pipeline
Data factory
Notebook
Pyspark
Spark
Apache
Dataflow
Data with Dominic
#fabric #microsoftfabric #DataWithDominic #synapse #azure #synapseanalytics #onelake