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Build a movie recommendation data pipeline using Azure services for efficient data ingestion, transformation, and orchestration. Utilize Azure Blob Storage, Azure Databricks, and Azure Data Factory to implement collaborative filtering and PySpark ML for accurate movie recommendations.

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azure adf databricks notebook pyspark python analytics azure-pipelines azure-storage azuredatabricks

movie-recom-pipeline-azure's Introduction

๐Ÿ‘‹๐Ÿป Hi, I'm Duc Anh

A third-year Computer Science student, with a goal to become a Data Engineer. My interest is in Big Data and Cloud technologies.
  • I'm currently focus on Microsoft Farbic, and start a journey with my first intern job.

  • ๐Ÿ’ผ You can explore my diverse portfolio of projects below or on my personal website ducanhntt.github.io

  • ๐Ÿ“ง For any professional inquiries, please reach out to me at [email protected]

  • ๐Ÿ“‘ To gain a comprehensive understanding of my professional journey, please refer to my resume PDF

๐Ÿ“ซ How to reach me: ducanh0285@gmail.com111

๐Ÿ› ๏ธ Languages and Tools :

๐Ÿ’ป Programming :

Python Java Scala

๐Ÿ’พ Databases :

PostgreSQL Mysql SQLite Snowflake MongoDB

๐Ÿค– Data Engineer:

Airflow Selenium Apache Spark Apache Hadoop Apache Hive Apache Kafka

๐Ÿ“Š BI Tools :

Power Bi

โ˜๏ธ Cloud :

AWS GCP Azure

๐Ÿ”จ Tools :

Linux Docker Oracle Git GitLab



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