SF Data Weekly - MLP, SE for Pipelines, and Word Cloud Alternatives

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July 29 · Issue #250 · View online
SF Data Weekly
Our pick this week makes the distinction between Minimum Viable Product (MVP) and Minimal Lovable Product (MLP).
We also have a piece on applying software engineering principles to data pipelines, as well as alternatives to word cloud for visualizing text. Stay healhty!

Our Pick
What is MLP: why product development analytics is important and how not to mess up with it? | by Ronas IT | Better Marketing
Data Pipelines
Data Integration for E-Commerce: What is It, and Why Do You Need It? | Integrate.io
Four Software Engineering Best Practices to Improve Your Data Pipelines | by Olivia Iannone | Jul, 2022 | Towards Data Science
Data Storage
Unify data lakes and warehouses with BigLake, now generally available
Is “Self-Service” Data’s Biggest Lie? | by Barr Moses | Jul, 2022 | Towards Data Science
Data Analysis
5 Data Science “truths” You-Tubers and content creators will never tell you about. | by Marble kusanele Mpofu | Jul, 2022 | Medium
Simplify analytics on Amazon Redshift using PIVOT and UNPIVOT | Amazon Web Services
Data Visualization
Beyond the Cloud: 4 Visualizations to use instead of Word Cloud | by Boriharn K | Jul, 2022 | Towards Data Science
I’ve Built a Public World Atlas with 2,500 Datasets to Explore
Data-driven Products
Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem | by Netflix Technology Blog | Jul, 2022 | Netflix TechBlog
How PicnicHealth is revolutionizing healthcare with Google Workspace and Google Cloud
Data Engineering Jobs
Sales Engineer - Snowflake
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