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SF Data Weekly - Back to Basics, EDA for Time Series and Caching Presto

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November 4 · Issue #264 · View online
SF Data Weekly
This week’s pick is a data scientist who put aside her ego to re-tool.
We also have a piece on Exploratory Data Analysis for time series data, and Uber’s experience caching their massive Presto analytics system. Stay Healthy!

Our Pick
How Going Back to Basics Made Me a Better Data Scientist | by Lucy Dickinson | Oct, 2022 | Towards Data Science
Data Pipelines
Retain more for less with tiered storage for Amazon MSK | Amazon Web Services
Consolidate Your Data on AlloyDB with Integrate.io In Minutes
Data Storage
How to backup firebase realtime database - Giacomo Balli
Simplify data analysis and collaboration with SQL Notebooks in Amazon Redshift Query Editor V2.0 | Amazon Web Services
Data Analysis
How to Do an EDA for Time-Series. Pandas-profiling time-series… | by Fabiana Clemente | Oct, 2022 | Towards Data Science
Metric Design for Data Scientists and Business Leaders | by Cassie Kozyrkov | Oct, 2022 | Towards Data Science
Data Visualization
“I Can’t Draw” and Other Conversations I Always Have with My Dataviz Students | Nightingale
Charts.css
Data-driven Products
Speed Up Presto at Uber with Alluxio Local Cache | Uber Blog
How The Mill Adventure enabled data-driven decision-making in iGaming using Amazon QuickSight | Amazon Web Services
Data Engineering Jobs
Take The ETH Zürich Big Data Course For Free
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