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| March 26 · Issue #182 · View online |
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This week is all about comparisons. Our pick is a side-by-side look at what’s involved in building a COVID dashboard using Python or Tableau. We also have a benchmark for two specialized databases, Clickhouse and atoti. Stay healthy!
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Tableau vs Python — Building a COVID Tracker Dashboard | by Harshit Tyagi | Mar, 2021 | Towards Data Science
Using publicly-available COVID data, a comparison of the time, effort and visualization quality of a COVID dashboard built in Python, and one built in Tableau.
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Extracting multidimensional data from Microsoft SQL Server Analysis Services using AWS Glue | Amazon Web Services
Analysis Services is Microsoft’s OLAP cube. If you’ve worked with cubes before, generally: data checks in, but it doesn’t check out. Glue can change that, and this piece explains how.
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Get a complete view of Salesforce data with MongoDB
Combining relational and non-relational data is always a challenge. Learn how to make this process easier with Xplenty’s demo, “Get a Complete View of Salesforce Data with MongoDB”.
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Parquet file -Explained. I realize that you may have never heard… | by Swetha Dhanasekar | MLearning.ai | Mar, 2021 | Medium
Parquet is a free and open-source columnar file format that allows complex metadata and more effective compression. This piece explains the format, which allows S3 data to be used efficiently by Redshift.
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Is ClickHouse really that fast? a friendly comparison with atoti | by Julien Bec | atoti | Mar, 2021 | Medium
ClickHouse has the ability to do data aggregation faster than general purpose databases like Redshift. Another specialty database, atoti, says it can beat ClickHouse. Since atoti is open source and they share the python code for the benchmark, you can check their work.
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A Quick Dive Into Data Refresh. Microsoft Power BI Learning Series | by Hemshree Madaan | Analytics Vidhya | Mar, 2021 | Medium
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Data Visualization Hack —Lessons from FiveThirtyEight Graphs | by Francis Adrian Viernes | Mar, 2021 | Towards Data Science
FiveThirtyEight (sometimes written as 538), is a website that produces opinion polls on topics such as politics, economics, and sports. Part of the success of the site relies on high quality graphs. This piece shows how to style your own matplotlib graphs to look as nice as those on 538, with examples.
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An Interview with Alexander Varlamov (A Tableau Zen Master and Public Ambassador) | by Adam Mico | Mar, 2021 | Medium
An interesting interview with a Tableau ambassador with his picks of data visualizations that inspire him.
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Best Western slashes analytics costs, improves operations worldwide using Amazon QuickSight | Amazon Web Services
How a traditional business improved its data analysis using QuickSight.
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Uber's Journey Toward Better Data Culture From First Principles | Uber Engineering Blog
Uber’s “holistic approach” to data quality, which is in the process of addressing common issues that plague many organizations’ approach to data analytics and distribution.
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6 Resources To Help You Ace Your Data Science Interview | by Sara A. Metwalli | Mar, 2021 | Towards Data Science
In addition to our usual list of jobs, here’s an piece that can help you brush up your skills in programming, statistics, SQL, ML and project validation. Now, on to the jobs:
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