Summary of Daniel Molnar The Data Janitor Returns

00:00:00 - 00:35:00

In this video, Daniel Molnar discusses the data janitor role, which is a role that helps keep the data of a company organized and clean. He also discusses some of the lessons he's learned over the years, including the effects of the Y2K bug and recent court cases. Molnar concludes the video by encouraging viewers to reach out to him if they have questions.

• 00:00:00 Daniel Molnar, a data janitor who has worked for companies such as Shopify and Microsoft, delivers a talk on how to keep data simple and manageable. He emphasizes the importance of knowing what not to worry about and keeping things in production.
• 00:05:00 Daniel Molnar details how data can be analyzed and organized in a hierarchy, and how to identify when a company is using skewed data to make decisions. He also warns about the dangers of using biased data for business decisions.
• 00:10:00 Project A Ventures' CEO, Martin Sauter, reviews the many stages of a data project, discussing the importance of user adoption and the need for a clear understanding of how data affects business decisions. He also recommends the use of Shiny, a Python tool for data visualization and analysis.
• 00:15:00 Daniel Molnar, the "data janitor," returns to present his findings on deep learning and containers. He argues that while deep learning may be useful in certain cases, it is not necessary for most businesses. He also suggests that, when looking to purchase a deep learning tool, it is important to consider the business benefits it may provide.
• 00:20:00 Daniel Molnar, in a talk about data engineering, covers the importance of being agnostic and the need to be aware of what is happening in the industry. He also talks about how being a data engineer is not easy and that it can be difficult to stay up-to-date with current trends.
• 00:25:00 Daniel Molnar returns to talk about the importance of airflow in data engineering, how to set up airflow without document communities, and how to tune elasticsearch for faster performance.
• 00:30:00 Daniel Molnar discusses the challenges of data skewing and how to mitigate it. He recommends using your own data tracking system, rather than relying on third-party services, and using cloud-based storage solutions to reduce dependencies on external systems. He also discusses the importance of data attribution and conversion, and how to best leverage your marketing resources.
• 00:35:00 In this video, Daniel Molnar discusses the data janitor role, which is a role that helps keep the data of a company organized and clean. He also discusses some of the lessons he's learned over the years, including the effects of the Y2K bug and recent court cases. Molnar concludes the video by encouraging viewers to reach out to him if they have questions.