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May 20 · Issue #240 · View online |
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This week’s pick introduces a new site that is like Pinterest for data visualization inspiration. We also have two pieces on Google databases – one describes their time series database, Monarch, and the other introduces their new PostgreSQL-compatible AlloyDB. Stay Healthy!
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SPOTLIGHT: The Pinterest of Data Visualisation | Nightingale
With over 100 projects by 55 authors, dataviz-inspiration.com aims to become the biggest repository of chart examples on the web.
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Effortless Ways to handle Google Analytics 4 data in BigQuery like a pro | by datadice | May, 2022 | Medium
Google allows the import of GA4 data into BigQuery. This piece explains how to make that GA4-to-BigQuery pipeline useful.
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The Best Shopify Tech Stack for Building a High-Traffic E-Commerce Store |Integrate.io
It’s easy to create a store on Shopify, but turning it into a profitable and scalable business is a whole other story. Here’s what you need to know to create a Shopify tech stack for e-commerce. [Sponsored]
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Monarch: Google’s Planet-Scale In-Memory Time Series Database
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Introducing AlloyDB for PostgreSQL: Free yourself from expensive, legacy databases
Google’s announcement of their new PostgresSQL clone, built on a storage service optimized specifically for PostgreSQL.
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YouTube's Database "Procella"
Our Google database trifecta ends with a summary of the different components of the database that powers YouTube.
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Why I Stopped Dumping DataFrames to a CSV and Why You Should Too | by Avi Chawla | May, 2022 | Towards Data Science
CSV is probably the most flexible data file format in existence, but Avi argues that there are better alternatives that are more time-efficient and better storage-optimized.
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How expert analysts think about time | by Cassie Kozyrkov | May, 2022 | Towards Data Science
Why a culture of analytics can only thrive in organizations where analysts are not punished for coming back empty-handed.
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Visualizing the Speed of Light with Python | by Boriharn K | May, 2022 | Towards Data Science
Example code to show the speed of light in reference to the planets.
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Powering real-time data analytics with Druid at Twitter
An overview of Twitter’s real-time analytics database designed for fast slice and dice analytics on large datasets.
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How Paytm modernized their data pipeline using Amazon EMR | Amazon Web Services
Paytm is India’s leading payment platform, with 130 million active users. This piece explains how they migrated 400 TB of data to S3 and modernized the transformation flow.
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