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SF Data Weekly - Skype's Data Infrastructure, Spark Analytics for NASA, Machine Learning at Wikimedia, Xero's Migration to AWS

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April 16 · Issue #111 · View online
SF Data Weekly
Our Pick
Selling Data Products is the Wrong Business Model for AI Startups
Boundaries of agricultural fields, automatically derived from satellite imagery.
Boundaries of agricultural fields, automatically derived from satellite imagery.
Data Pipelines
Building a Celery-Based S3-to-Redshift Data Pipeline App | Lofty Labs
From Apache Kafka to Amazon S3: Exactly Once | Confluent
Failure during Kafka to S3 data movement.
Failure during Kafka to S3 data movement.
Architecting a Machine Learning Pipeline
A general architecture of a Machine Learning pipeline.
A general architecture of a Machine Learning pipeline.
Data Storage
How Skype Modernized its Backend Infrastructure Using Azure Cosmos DB | Microsoft Azure
The Great Migration of Xero: From SQL Server to AWS Aurora
Part of the migration solution.
Part of the migration solution.
Data Analysis
Scalable Log Analytics with Apache Spark — A NASA Case Study
How Wikimedia is Using Machine Learning to Spot Missing Citations
Keywords flagged for needing citations.
Keywords flagged for needing citations.
Data Visualization
Ask the Question, Visualize the Answer | FlowingData
Data-driven Products
Big Data In Little Spaces: Hadoop And Spark At The Edge
Data Engineering Jobs
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“SF Data Weekly” is curated by intermix.io in San Francisco, California
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