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SF Data Weekly - Uber's H3, AirBnB's Guide to Data Eng, Why ML Projects Fail, Kafka & Spark Streams

July 1 · Issue #74 · View online
SF Data Weekly
Our Pick
A Beginner’s Guide to Data Engineering — The Series Finale
The three layers of a well-designed data engineering framework.
Data Pipelines
Why businesses fail at machine learning
Why you should not use Google Cloud
Stream Processing Made Easy With Confluent Cloud and KSQL
Deploying cloud clusters or solutions that span multiple cloud providers.
Processing Streams of Data With Apache Kafka and Spark: Ingestion, Processing, Reaction, Examples
A many-to-many system with data producers and consumers.
Building a Scalable and Adaptable Video Processing Pipeline With Amazon Rekognition Video
Architecture of a video content recognition system using AWS tools.
Data Storage
Real-Time Aggregation with DynamoDB Streams
SaaS Storage Partitioning with Amazon Aurora Serverless
Aurora Serverless model - database connections managed by a proxy layer.
Data Analysis
Practical Apache Spark in 10 minutes. Part 1 — Ubuntu installation
Growth Engineering at Netflix — Accelerating Innovation
Growth Engineering owns multiple services providing specific signup functions.
Data Visualization
Flights to Rome
Using blood flow-like visualizations of world flights.
Data-driven Products
H3: Uber’s Hexagonal Hierarchical Spatial Index
Randomly generated hexagonal clusters cover the city of San Francisco.
Data Engineering Jobs
Data Engineer - Centro
Data Engineer - Shutterfly
If you want to post a job for your company, you can do it here.
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