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Jo-L Collins
Discover how Apache Airflow DAGs allow you to create, streamline and automate basic data pipelines. Enroll in Udacity's Apache Airflow Training Course Today!
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Basic SQL
- Intermediate Python
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/lb4584/introduction
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What's inside
Syllabus
Learn about Apache Airflow DAGs and how to use them to automate basic data pipelines.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in using Apache Airflow DAGs to automate basic data pipelines, which are key for data engineers and data analysts
Suitable for learners with basic SQL and intermediate Python proficiency
No explicit requirement for prior knowledge in Apache Airflow, making it accessible to beginners
Conducted in English, making it accessible to global learners
Taught by Jo-L Collins, an expert in data engineering and Apache Airflow
Offered on the Udacity platform, known for its online learning programs
Save this course
Save Introduction to Airflow to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Airflow with these
activities:
Review SQL
Show steps
Reinforce previously studied relational database concepts like tables, columns, queries, and joins. Review tools like MySQL or PostgreSQL.
Browse courses on
SQL
Show steps
-
Review SQL syntax and fundamental concepts
-
Practice writing basic SQL queries
-
Explore more advanced SQL concepts like joins and subqueries
Review Python
Show steps
Brush up on Python fundamentals like variables, data types, control flow, and functions. Review essential data structures like lists, dictionaries, and sets.
Browse courses on
Python
Show steps
-
Revisit Python syntax and basic programming concepts
-
Practice writing simple Python programs
-
Explore more advanced Python features like object-oriented programming and data analysis libraries
Explore Apache Airflow documentation
Show steps
Gain a deeper understanding of Apache Airflow's architecture, components, and use cases by exploring the official documentation.
Browse courses on
Apache Airflow
Show steps
-
Navigate the Apache Airflow documentation website
-
Read through the user guide and tutorials
-
Explore the API reference and examples
Show all three activities
Review SQL
Show steps
Reinforce previously studied relational database concepts like tables, columns, queries, and joins. Review tools like MySQL or PostgreSQL.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL syntax and fundamental concepts
- Practice writing basic SQL queries
- Explore more advanced SQL concepts like joins and subqueries
Review Python
Show steps
Brush up on Python fundamentals like variables, data types, control flow, and functions. Review essential data structures like lists, dictionaries, and sets.
Browse courses on
Python
Show steps
Show steps
Show steps
- Revisit Python syntax and basic programming concepts
- Practice writing simple Python programs
- Explore more advanced Python features like object-oriented programming and data analysis libraries
Explore Apache Airflow documentation
Show steps
Gain a deeper understanding of Apache Airflow's architecture, components, and use cases by exploring the official documentation.
Browse courses on
Apache Airflow
Show steps
Show steps
Show steps
- Navigate the Apache Airflow documentation website
- Read through the user guide and tutorials
- Explore the API reference and examples
Show all three activities
Career center
Learners who complete Introduction to Airflow will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Apache Airflow is an open-source platform that helps data engineers automate data pipelines. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. This course may be useful for data engineers who want to learn more about Airflow and how to use it to automate their data pipelines.
Data Scientist
Data Scientist
Apache Airflow can be used to automate the data science workflow, from data ingestion to model training and deployment. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Data scientists who want to learn more about Airflow and how to use it to automate their data science workflow may find this course helpful.
Software Engineer
Software Engineer
Apache Airflow is a popular open-source workflow management platform that is used by many software engineers to automate their data pipelines. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Software engineers who want to learn more about Airflow and how to use it to automate their data pipelines may find this course helpful.
Business Analyst
Business Analyst
Apache Airflow can be used to automate the data analysis process, from data ingestion to data visualization. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Business analysts who want to learn more about Airflow and how to use it to automate their data analysis process may find this course helpful.
Data Integration Specialist
Data Integration Specialist
Apache Airflow can be used to automate the data integration process, from data extraction to data transformation. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Data integration specialists who want to learn more about Airflow and how to use it to automate their data integration process may find this course helpful.
Cloud Architect
Cloud Architect
Apache Airflow can be used to automate the cloud architecture process, from cloud resource provisioning to cloud application deployment. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Cloud architects who want to learn more about Airflow and how to use it to automate their cloud architecture process may find this course helpful.
DevOps Engineer
DevOps Engineer
Apache Airflow can be used to automate the DevOps process, from code deployment to infrastructure management. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. DevOps engineers who want to learn more about Airflow and how to use it to automate their DevOps process may find this course helpful.
ETL Developer
ETL Developer
Apache Airflow can be used to automate the ETL process, from data extraction to data loading. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. ETL developers who want to learn more about Airflow and how to use it to automate their ETL process may find this course helpful.
Data Architect
Data Architect
Apache Airflow can be used to design and manage data pipelines. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Data architects who want to learn more about Airflow and how to use it to design and manage their data pipelines may find this course helpful.
Database Administrator
Database Administrator
Apache Airflow can be used to automate the database administration process, from database creation to database maintenance. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Database administrators who want to learn more about Airflow and how to use it to automate their database administration process may find this course helpful.
Data Analyst
Data Analyst
Apache Airflow can be used to automate the data analysis process, from data extraction to data visualization. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Data analysts who want to learn more about Airflow and how to use it to automate their data analysis process may find this course helpful.
Big Data Engineer
Big Data Engineer
Apache Airflow can be used to automate the big data engineering process, from data ingestion to data processing. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Big data engineers who want to learn more about Airflow and how to use it to automate their big data engineering process may find this course helpful.
Machine Learning Engineer
Machine Learning Engineer
Apache Airflow can be used to automate the machine learning process, from data preparation to model training. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Machine learning engineers who want to learn more about Airflow and how to use it to automate their machine learning process may find this course helpful.
Cloud Engineer
Cloud Engineer
Apache Airflow can be used to automate the cloud engineering process, from cloud resource provisioning to cloud application deployment. This course provides an introduction to Airflow, covering the basics of creating, streamlining, and automating basic data pipelines. Cloud engineers who want to learn more about Airflow and how to use it to automate their cloud engineering process may find this course helpful.
For more career information including salaries, visit:
OpenCourser.com/course/lb4584/introduction
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Airflow.
Provides a comprehensive overview of natural language processing with Python. It covers everything from the basics of natural language processing to more advanced topics such as machine translation and text classification. It valuable resource for anyone who wants to learn more about natural language processing.
Save
Provides a comprehensive overview of SQL for data analysis. It covers everything from the basics of SQL to more advanced topics such as data wrangling, data visualization, and machine learning. It valuable resource for anyone who wants to use SQL for data analysis.
Provides a comprehensive overview of deep learning with Python. It covers everything from the basics of deep learning to more advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of Python for data analysis. It covers everything from the basics of Python to more advanced topics such as data wrangling, data visualization, and machine learning. It valuable resource for anyone who wants to use Python for data analysis.
Provides a comprehensive guide to Apache Airflow for data analysts. It covers everything from the basics of Airflow to more advanced topics such as data quality, testing, and deployment. It valuable resource for anyone who data analyst and wants to use Airflow to automate their data pipelines.
Provides a friendly and accessible introduction to Apache Airflow. It covers the basics of Airflow and how to use it to automate data pipelines. It valuable resource for anyone who is new to Airflow and wants to learn more about it.
Provides a gentle introduction to Apache Airflow. It covers the basics of Airflow and how to use it to automate data pipelines. It valuable resource for anyone who is new to Airflow and wants to learn more about it.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lb4584/introduction
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Effort
3 hours
Via
Udacity
Instructor
Jo-L Collins
Language
English
Good to know
Develops skills in using Apache Airflow DAGs to automate basic data pipelines, which are key for data engineers and data analysts
Suitable for learners with basic SQL and intermediate Python proficiency
No explicit requirement for prior knowledge in Apache Airflow, making it accessible to beginners
Conducted in English, making it accessible to global learners
Taught by Jo-L Collins, an expert in data engineering and Apache Airflow
Offered on the Udacity platform, known for its online learning programs
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