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SF Data Weekly - Recommendations, Profiling and Modeling NFTs

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May 13 · Issue #239 · View online
SF Data Weekly
Our pick this week is a deep dive into creating a recommendation system, from EDA to MLOps.
We also have a piece on a new open-source database optimized for continuous performance profiling, and a model for NFT pricing. Stay healthy!

Our Pick
Implementing an Enterprise Recommendation System | by AJ Gadgil | May, 2022 | Towards Data Science
Data Pipelines
Build a big data Lambda architecture for batch and real-time analytics using Amazon Redshift | Amazon Web Services
The 7 Best E-Commerce Integrations and APIs | Integrate.io
Data Storage
Introducing arcticDB: A database for Observability
GitHub - dbgate/dbgate: Database manager for MySQL, PostgreSQL, SQL Server, MongoDB, SQLite and others. Runs under Windows, Linux, Mac or as web application
Data Analysis
Modeling NFT Prices with Smoothed Isotonic Regression | by Wall St Fam | May, 2022 | Medium
Chi-Square Distribution Simply Explained | by Egor Howell | May, 2022 | Towards Data Science
Data Visualization
10 Common Data Visualization Pitfalls to Avoid | by Yanisa Treesak | Agoda Engineering & Design | May, 2022 | Medium
Goodbye Scatterplot, Welcome Binned Scatterplot | by Matteo Courthoud | May, 2022 | Towards Data Science
Data-driven Products
Building the future of AB testing at carwow | by Analytics and Data Science @ carwow | May, 2022 | Medium
Jeevansathi Data Lake: Building Blocks & Architecture | by Jeevansathi Engineering | May, 2022 | Medium
Data Engineering Jobs
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