👉 Join the Applied AI Community: https://www.skool.com/applied-ai
👉 Get the resources (Github): https://www.lukejbyrne.com/c/fabric-vs-azure
This project addresses a critical business need by building a comprehensive data pipeline on Azure. The goal is to extract seismic data from an API endpoint via HTTP GET request, transform it in the cloud, and generate actionable insights through a Power BI dashboard.
Tech Stack: HTTP, Python, PySpark, API, Data Factory, Data Lake Gen 2, Databricks, Synapse Analytics, Power BI, Entra ID (Active Directory), Key Vault
How to set up PowerBI without work email:
https://www.youtube.com/watch?v=9RB5xic9BiY
Pathfinder's original vid:
https://youtu.be/Av44Nrhl05s?si=y_CG7mLKh4PuBbe4
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📊 Learn Data & AI (50% OFF):
https://datacamp.pxf.io/yqr3jb
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https://kickofflabs.com/waitlist/f795d9da
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https://linkedin.com/in/lukejbyrne
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Overview
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0:00 – Introduction & What You’ll Learn
0:22 – Main Azure Services Explained
0:54 – Getting Started & GitHub Repo
1:33 – Earthquake Data Pipeline Use Case
2:19 – Medallion Architecture Overview
2:45 – Synapse, Data Factory, & Power BI
Databricks
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3:33 – Prerequisites & Azure Free Account
5:16 – Creating the Azure Databricks Workspace
7:33 – Creating the ADLS Storage Account
10:03 – Deeper Dive Into Databricks Deployment
1:00:39 – Library Management & Reverse Geocoder
1:06:00 – Classifying Earthquake Significance
Data Factory
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1:09:05 – Data Factory Setup & Linking
1:24:26 – Passing Parameters & Orchestrating Notebooks
Synapse
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1:37:19 – Loading Data into Synapse Analytics
1:40:02 – Querying Parquet Data with OPENROWSET
Power BI
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1:44:42 – Power BI Overview & Next Steps
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Business inquiries:
[email protected]