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SF Data Weekly - Data Science Lessons, Snowflake and Lake Formation

April 30 · Issue #187 · View online
SF Data Weekly
Our pick this week is a “lessons not learned” piece about common pitfalls that Data Scientists experience, with applicability to analysts and data visualization as well.
We’ve also got some good pieces on loading Snowflake, AWS Data Lake fine-grained security and Power BI templates. Stay healthy!

Our Pick
Data Science Lessons We’re Not Learning Fast Enough | by Fabrizio Fantini | Apr, 2021 | Towards Data Science
Data Pipelines
Snowflake Data Loading: Overview. In this blog we are going to see how we… | by Rajiv Gupta | Apr, 2021 | Medium
Xplenty | Manual Data Transformation is Painful. Spend Your Time On High-value Work
Data Storage
Google Cloud Blog - Bigtable vs BigQuery? What’s the difference?
Manage fine-grained access control using AWS Lake Formation | Amazon Web Services
Data Analysis
Understanding Dynamic Pricing Using Basic Statistics | by Ogulcan Ertunc | Analytics Vidhya | Apr, 2021 | Medium
Synthetic Data. The world is the biggest data problem —… | by Surya_Nuchu | Apr, 2021 | Medium
Data Visualization
The top 5 examples of Power BI templates | by Dmitri Koteshov | Akveo Engineering | Apr, 2021 | Medium
Get Interactive plots directly with pandas. | by Parul Pandey | Apr, 2021 | Towards Data Science
Data-driven Products
Safeguarding Data in the Data Lake: Intuit’s Holistic Approach | by Leon Bian | Intuit Engineering | Apr, 2021 | Medium
How Lyft Data Scientists Have Worked Remotely During the Pandemic | by Diversity in Science at Lyft | Apr, 2021 | Lyft Engineering
Data Engineering Jobs
Data Analyst - Cornershop by Uber
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