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| January 28 · Issue #224 · View online |
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Our pick this week is a review of a book showing how comics can be used for data storytelling. We also have a piece on how to create river maps using Python, and lessons learned from Spotify’s ML effort. Stay Healthy!
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REVIEW: How Can We Use Comics to Tell Data Stories? | Nightingale
A review of From Data to Stories, a book from Richie Lionell and Ramya Mylavarapu described on its front page as “an end to end guide to Storytelling with Data Comics for the absolute beginner.“
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Gain insights into your Amazon Kinesis Data Firehose delivery stream using Amazon CloudWatch | Amazon Web Services
Kinesis Firehose is used to load streaming data into data lakes, data stores and analytic services. This piece shows how to use CloudWatch to monitor Firehose and create alerts to catch streaming errors early.
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The Top 7 ETL Tools for 2022 | Integrate.io
The best ETL data integration tool varies depending on your use case. Here are 7 of the best ETL tools for 2022, along with a few others that you may want to consider. [Sponsored]
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Getting started with Spatial Data in PostgreSQL
A description of what a spatial database is, and how the PostgreSQL POINT data type can be used to perform geographic data analysis.
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Centralize governance for your data lake using AWS Lake Formation while enabling a modern data architecture with Amazon Redshift Spectrum | Amazon Web Services
How AWS Lake formation can be used to grant and revoke permissions on databases, tables, and column catalog objects created on top of an Amazon S3 data lake.
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How to Validate the Quality of Your Synthetic Data | by Fabiana Clemente | Jan, 2022 | Towards Data Science
Synthetic data is often used to validate ML models. This piece shows how to validate synthetic data using the Great Expectations open source framework.
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Creating Beautiful River Maps with Python | by Adam Symington | Jan, 2022 | Towards Data Science
Using Hydrosheds data and Python to create African river maps, without use of a GIS.
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A Simple Way to Turn Your Plots into GIFs in Python | by Eryk Lewinson | Jan, 2022 | Towards Data Science
A short, to-the-point piece on how to export your Python animated plots as GIFs.
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Product Lessons from ML Home: Spotify’s One-Stop Shop for Machine Learning : Spotify Engineering
ML Home is the internal UI for Spotify’s ML platform. This piece gives an overview of ML Home and shares three lessons learned from Spotify’s experience with the platform.
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Google AI Blog: Separating Birdsong in the Wild for Classification
How two Google researchers were able to create a ML tool to auto-classify thousands of hours of bird audio captured in forests.
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5 Short Courses to Boost your Data Science Skills [Part 1] | by Youssef Hosni | MLearning.ai | Jan, 2022 | Medium
For those of you looking for a data science job, this piece has five courses that can be completed in 3-5 hours, to improve your data science skills. This week’s jobs:
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