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Overview
Build data pipelines by leveraging Airflow DAGs to organize tasks and utilize AWS resources such as S3 and Redshift to process and move data effectively between systems.
Engage in hands-on projects to automate and maintain complex data pipelines, streamlining operations and improving data reliability.
Features
- In the Automate Data Pipelines course from Udacity you will gain expertise in workflow automation, data integration, and error handling, enabling you to construct efficient and scalable data pipelines in production environments.
- Ideal for data engineers and professionals aiming to advance their skills in managing and automating data workflows.
Programme Structure
Courses include:
- Data Pipelines
- Airflow and AWS
- Data Quality
- Production Data Pipelines
- Project: Data Pipelines
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Data modeling basics
- Intermediate Python
- Database fundamentals
- Intermediate SQL
- Amazon web services basics
- Command line interface basics
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
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