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SF Data Weekly - IOPipe's Data Pipeline, 14 Redshift Performance Tips, Spotify and Fitbit Data Analysis, ML at Teads, SimilarWeb's Data Pipeline

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September 10 · Issue #84 · View online
SF Data Weekly
Our Pick
Software Architecture: Architect Your Application with AWS
Data Pipelines
How SimilarWeb Analyze Hundreds of Terabytes of Data
SimilarWeb's solution using Athena, S3 and Upsolver.
Create Dynamic Contact Forms for S3 Static Websites Using AWS Lambda, Amazon API Gateway, and Amazon SES
Submitting dynamic content on a static website in AWS.
Lessons from Building a Serverless Data Pipeline
Data Storage
Top 14 Performance Tuning Techniques for Amazon Redshift
Using Amazon Redshift Spectrum for infrequently used data.
Hooking up Spark and Scylla: Part 2 | ScyllaDB
Aligning the Scylla token ranges and the RDD partitions.
Data Analysis
Spotify’s “This Is” Playlists: The Ultimate Song Analysis
Comparing musical vibes using a Radar chart.
Machine Learning @ Teads (Part 2)
Technologies used in Teads' ML stack.
Data Visualization
Data Visualisation, from 1987 to Today | The Economist
Hand-drawn half-pie charts from the archives, March 16th 1985.
Data-driven Products
Fitbit Heart Data Reveals Its Secrets
Effect of sleep duration on heart rate.
Data Engineering Jobs
Data Engineer - Automattic
If you want to post a job for your company, you can do it here.
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