End-to-End Data Engineering Project in Databricks #databricks #dataengineering #pyspark

Welcome to this comprehensive, step-by-step tutorial on building an end-to-end Data Engineering project entirely within the Databricks Free Edition!

In this video, we will design and build a robust, metadata-driven framework from scratch. Whether you are looking to understand the core architecture of a data pipeline or want hands-on experience with the latest Databricks features, this tutorial covers it all—from data ingestion and transformation to orchestration, governance, and BI consumption.

Resources:
Full Demo Video of the project:
https://youtu.be/aEGan35iBbE

Notebooks used are available at below path:
https://github.com/databeli/databricks_course.git

Plan 1 on 1 with me at below URL:
https://topmate.io/narender_kumar_91/
Tech Stack & Tools Covered:
Data Ingestion: Autoloader, PySpark, JDBC Connections
Transformation: Apache Spark, Spark SQL, Delta Lake, Databricks Notebooks
Orchestration: Databricks Workflows / Jobs
Governance & Security: Unity Catalog, Secret Scopes
Consumption: Databricks Dashboards, Databricks Genie Workspace, Databricks One

About the Instructor
I'm Narender Kumar! I have 12 years of experience in the IT industry, with the last 8 years heavily focused on Data Engineering. I hold multiple Architect-level certifications and am proud to be a recognized Databricks Solutions Architect Champion. My goal is to help you master data engineering concepts through real-world, practical projects.

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https://www.youtube.com/playlist?list=PLlHuhl-cAAnEgsGlq2H_iV50jUhiFayN_

Databricks All in One Complete Course
https://www.youtube.com/playlist?list=PLlHuhl-cAAnH30NbAzagvT4FXSWu94uQS

Most Detailed Roadmap to Become Data Engineer
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#databricks #dataengineering #pyspark

Видео End-to-End Data Engineering Project in Databricks #databricks #dataengineering #pyspark канала DataBeli