Mastering Data Pipelines on AWS with Rudolf Eremyan | PyData Yerevan 2022
Discover how to build efficient data pipelines on AWS and avoid hidden costs that can blow your budget. Learn from Rudolf Eremyan's expert insights at PyData Yerevan 2022! ๐

PyData
509 views โข Sep 20, 2022

About this video
Rudolf Eremyan Presents:
Building Data Pipelines on AWS
Building Data Pipelines on AWS and hidden costs that can destroy budgetโค
Data is the new fuel. The majority of modern IT companies make their decision based on collected data. An important role during this process plays the data engineering side which is responsible for delivering data in the needed format. During the speech, I want to talk about ways to create Data Pipelines on Amazon Web Services. Except for data engineering, I want to focus attention on the hidden costs that can easily destroy project's budget.
Presentation Slides: https://pydatayerevan.aua.am/files/2022/09/Rudolf-Eremyan.pptx
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
Building Data Pipelines on AWS
Building Data Pipelines on AWS and hidden costs that can destroy budgetโค
Data is the new fuel. The majority of modern IT companies make their decision based on collected data. An important role during this process plays the data engineering side which is responsible for delivering data in the needed format. During the speech, I want to talk about ways to create Data Pipelines on Amazon Web Services. Except for data engineering, I want to focus attention on the hidden costs that can easily destroy project's budget.
Presentation Slides: https://pydatayerevan.aua.am/files/2022/09/Rudolf-Eremyan.pptx
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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Views
509
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11
Duration
37:37
Published
Sep 20, 2022
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