Day 1, R3 11:30–12:00 Have you ever thought the origin of Python packaging tools like distutils, easy_install, setuptools, pip, tox, venv, pipenv, and poetry? In the first section, you will learn the history of “Python Software Distribution” and the reason behind them. Do you know how those mature solution in big company handle the Python packaging problems before those community’s solutions? In the second section, you will learn the big company’s efforts, lessons learned, and why did they decide to shift to community solution. If you are interested in the history of python packaging or the story behind the big company's build-system, this is the right talk for you. Slides: https://www.slideshare.net/ssuser2cbb78/time-travel-lets-learn-from-the-history-of-python-packaging-238397814 Speaker: Kir Chou A code monkey builds search services in Amazon jungle. This will be the 4th year of his presence in PyCon TW. 在亞馬遜做搜索服務的碼猴，今年將會是它出現在PyCon台灣的第四年。 ... https://www.youtube.com/watch?v=TvFwG2VkpFU

PyCon Taiwan 2023｜Talk 演講｜Day 1, R1 16:00–16:45 ? 說明 Description ? A layered data design pattern is a modern data architecture for building ETL/ELT data pipelines comprised of multiple stages so that each stage processes the data and improves the quality of the data progressively. Compared to the imperative way how data engineers build ETL/ELT data pipelines in the last decade, layered data architecture could be of great help in improving data quality steadily and progressively, and reducing data silos while project-specific teams are autonomously producing various data products. We will introduce, in this share, a technical solution based on layered data architecture. The solution is implemented by means of Dagster, a cloud-native data orchestrator with integrated lineage, observability, and a declarative programming model. A simple example will be presented in this talk to demonstrate concepts, principles, and data stack of the solution. In the end, the benefits we have gained from the implementation experience will be conveyed as well. ? 投影片 Slides：https://1drv.ms/p/s!AtNklwocKzYg8AEp6C6A-0jq8XN6?e=3ZFwU6 ? 講者介紹 About Speaker - George T. C., Lai ? A data practitioner with data analysis background who has been developing career mainly in Big Data and DevOps based on cloud-native ecosystem for 12 years. In the recent 7 years, I have been focusing on Data Architect, team management, and DevOps. As to technical experience, I got 6 years on Hadoop ecosystem, especially on Hortonworks HDP, 7 years on Kubernetes and 4 years on AWS/GCP. My personal vision is to make each data practitioner have a better life. I am approaching the vision by exploring new tools, discovering best practices, and delivering well-designed data architectures and technical solutions for data practitioners to relief their pain points and frustrations when coping with data. Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://conf.python.tw/ ... https://www.youtube.com/watch?v=wyO8VSkH81o