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Data Engineering with Python
This summary is talking about the Book "Data Engineering with Python".
The sources offer a comprehensive guide to data engineering using Python, focusing on building and deploying data pipelines. The first source, "Data Engineering with Python", provides an introduction to the field of data engineering, including common tools and techniques, such as Apache NiFi and Airflow. The book walks readers through building various data pipelines, demonstrating how to extract data from different sources, transform it, and load it into databases. The second source, a glossary of terms extracted from the book, summarizes key concepts and technologies discussed within the text, providing a convenient reference for readers. The sources together provide a valuable resource for aspiring data engineers seeking to gain practical knowledge and skills in this in-demand field.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Engineering-Python-datasets-pipelines/dp/183921418X?&linkCode=ll1&tag=cvthunderx-20&linkId=03df53babfbc54a780d5c68ba887cb68&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
The sources offer a comprehensive guide to data engineering using Python, focusing on building and deploying data pipelines. The first source, "Data Engineering with Python", provides an introduction to the field of data engineering, including common tools and techniques, such as Apache NiFi and Airflow. The book walks readers through building various data pipelines, demonstrating how to extract data from different sources, transform it, and load it into databases. The second source, a glossary of terms extracted from the book, summarizes key concepts and technologies discussed within the text, providing a convenient reference for readers. The sources together provide a valuable resource for aspiring data engineers seeking to gain practical knowledge and skills in this in-demand field.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Engineering-Python-datasets-pipelines/dp/183921418X?&linkCode=ll1&tag=cvthunderx-20&linkId=03df53babfbc54a780d5c68ba887cb68&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
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55 ratings
This summary is talking about the Book "Data Engineering with Python".
The sources offer a comprehensive guide to data engineering using Python, focusing on building and deploying data pipelines. The first source, "Data Engineering with Python", provides an introduction to the field of data engineering, including common tools and techniques, such as Apache NiFi and Airflow. The book walks readers through building various data pipelines, demonstrating how to extract data from different sources, transform it, and load it into databases. The second source, a glossary of terms extracted from the book, summarizes key concepts and technologies discussed within the text, providing a convenient reference for readers. The sources together provide a valuable resource for aspiring data engineers seeking to gain practical knowledge and skills in this in-demand field.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Engineering-Python-datasets-pipelines/dp/183921418X?&linkCode=ll1&tag=cvthunderx-20&linkId=03df53babfbc54a780d5c68ba887cb68&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
The sources offer a comprehensive guide to data engineering using Python, focusing on building and deploying data pipelines. The first source, "Data Engineering with Python", provides an introduction to the field of data engineering, including common tools and techniques, such as Apache NiFi and Airflow. The book walks readers through building various data pipelines, demonstrating how to extract data from different sources, transform it, and load it into databases. The second source, a glossary of terms extracted from the book, summarizes key concepts and technologies discussed within the text, providing a convenient reference for readers. The sources together provide a valuable resource for aspiring data engineers seeking to gain practical knowledge and skills in this in-demand field.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Engineering-Python-datasets-pipelines/dp/183921418X?&linkCode=ll1&tag=cvthunderx-20&linkId=03df53babfbc54a780d5c68ba887cb68&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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