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Let's make an End-to-End Data Pipeline in Databricks.
# Watch Next
https://youtu.be/lyp8rlpJc3k
https://youtu.be/P7EqW6_7wKs
https://youtu.be/ygJ11fzq_ik
https://youtu.be/gpz6YTnSSGY
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🌍 Understanding Data Engineering 👉 https://datacamp.pxf.io/JKq0ZE
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📊 Data Warehousing Concepts 👉 https://datacamp.pxf.io/WyYaPX
⚡ Introduction to dbt 👉 https://datacamp.pxf.io/09Y7BJ
🕹️ Introduction to Apache Airflow in Python 👉 https://datacamp.pxf.io/nXn3eX
📈 Introduction to NoSQL 👉 https://datacamp.pxf.io/6yG9RG
## Cloud Engineer
🌤️ Understanding Cloud Computing 👉 https://datacamp.pxf.io/LKDqYY
1️⃣ Understanding Microsoft Azure 👉 https://datacamp.pxf.io/mOn3k1
2️⃣ AWS Concepts 👉 https://datacamp.pxf.io/7abrBQ
📊 Microsoft Azure Architecture and Services 👉 https://datacamp.pxf.io/MAQxYo
⚙️ Microsoft Azure Management and Governance 👉 https://datacamp.pxf.io/YRdGkj
🧩 AWS Cloud Technology and Services Concepts 👉 https://datacamp.pxf.io/4GdDBo
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0:00 - Introduction
3:47 - What is Databricks and its Architecture
5:33 - Medallion Architecture Explained
10:47 - Setting up Databricks in Azure
19:04 - Access Control and Security
29:04 - Connecting Databricks to Storage
36:07 - Introduction to Databricks Notebooks
44:24 - Setting up Compute Resources
45:54 - Configuring Compute Resources
48:02 - Installing Required Libraries
50:34 - Setting Up Notebooks
53:05 - Bronze Notebook: Fetching Raw Data
1:00:00 - Verifying Data in Bronze Layer
1:02:14 - Silver Notebook: Data Transformation
1:10:09 - Gold Notebook: Advanced Transformations
1:18:01 - Writing to Gold Layer
1:23:19 - Creating a Workflow in Databricks
1:27:25 - Configuring Task Dependencies
1:30:34 - Testing the Workflow
1:33:27 - Conclusion and Next Steps