https://github.com/giulic3/data-engineering-nanodegree

Projects realized for the Data Engineering Nanodegree offered by Udacity https://www.udacity.com/course/data-engineer-nanodegree--nd027
https://github.com/giulic3/data-engineering-nanodegree

apache-airflow apache-cassandra apache-spark aws aws-emr aws-redshift aws-s3 data-engineering postgresql

Last synced: about 1 month ago
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Projects realized for the Data Engineering Nanodegree offered by Udacity https://www.udacity.com/course/data-engineer-nanodegree--nd027

• Host: GitHub
• URL: https://github.com/giulic3/data-engineering-nanodegree
• Owner: giulic3
• License: mit
• Created: 2020-03-30T01:26:52.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-02-10T23:10:15.000Z (almost 2 years ago)
• Last Synced: 2024-09-30T04:05:25.303Z (about 2 months ago)
• Topics: apache-airflow, apache-cassandra, apache-spark, aws, aws-emr, aws-redshift, aws-s3, data-engineering, postgresql
• Language: Jupyter Notebook
• Homepage:
• Size: 6.43 MB
• Stars: 1
• Watchers: 0
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# data-engineering-nanodegree

This is a collection of the projects realized following the syllabus of the Data Engineering Nanodegree offered by Udacity (https://www.udacity.com/course/data-engineer-nanodegree--nd027).

## Course overview and projects

The course is divided into 4 blocks of lessons, each block consists of a theoretical introduction on various topics, a series of demos for hands-on practice on the explained concepts and one (or two) projects:

***1. Data Modeling***

* Introduction to Data Modeling

* Relational Data Models

* _[Proj1]_: Data Modeling with Postgres

* NoSQL Data Models

* _[Proj2]_: Data Modeling with Apache Cassandra

***2. Cloud Data Warehouses***

* Introduction to Data Warehouses

* Introduction to Cloud Computing and AWS

* Implementing Data Warehouses on AWS

* _[Proj3]_: Data Warehouse

***3. Data Lakes with Spark***

* The Power of Spark

* Data Wrangling with Spark

* Debugging and Optimization

* Introduction to Data Lakes

* _[Proj4]_: Data Lake

***4. Data Pipelines with Airflow***

* Data Pipelines

* Data Quality

* Production Data Pipelines

* _[Proj5]_: Data Pipelines

***5. Bonus: [CapstoneProject]*** - ####