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SF Data Weekly - Big Data & AI Landscape, Data Stack at Unsplash, Confluent's Thoughts on ETL, Redshift Cost, Behind Uber Eats

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September 24 · Issue #86 · View online
SF Data Weekly
Our Pick
Great Power, Great Responsibility: The 2018 Big Data & AI Landscape
Big Data and AI landscape for 2018.
Data Pipelines
The Data Stack at Unsplash
Unsplash's data architecture (main pipeline in dark black).
The Changing Face of ETL | Confluent
Adopting a streaming platform decouples the sources and targets for data.
Democratizing Stream Processing with Apache Kafka and KSQL
Data ingestion with Apache Kafka.
Data Storage
Time Series Data and MongoDB: Part 2 – Schema Design Best Practices | MongoDB
Comparison between data size and storage size for different scenarios.
How We Reduced Our Amazon Redshift Cost by 29% | intermix.io
Memory consumption and number of disk queries for Redshift.
Using Amazon EBS Elastic Volumes with Oracle Databases (Part 1): Introduction | AWS Database Blog
Data Analysis
This New Data Will Make You Rethink How You Write Headlines
Headlines resulting in highest Facebook engagement.
AWS Analytics Services Explained: From Data Lakes to Machine Learning | AWS Partner Network Blog
Poster: data flow for analytics and Machine Learning.
Data Visualization
The Gender Balance of The New York Times Best Seller List
Best-selling novels by genre over the years.
Data-driven Products
Food Discovery with Uber Eats: Recommending for the Marketplace | Uber Engineering Blog
The two-layer solution combines ML with multi-objective optimization.
Data Engineering Jobs
Data Engineer - Trianz
If you want to post a job for your company, you can do it here.
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