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SF Data Weekly - PayPal's Gimel, Redshift Short Query Acceleration, AWS Cost Optimization, Postgres for IoT

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April 30 · Issue #65 · View online
SF Data Weekly
Our Pick
Data Infrastructure at In Loco
The main components of In Loco's engineering stack.
Data Pipelines
A Quick Guide to Using Short Query Acceleration and WLM for Amazon Redshift for Faster Queries Than Ever
How To Setup A Batch Data Pipeline For CSV Files To Redshift, Redshift Spectrum, Athena or BigQuery
Real-life AWS Cost Optimization Strategy
Looking deep inside your services to understand costs.
Implementing Safe AWS Lambda Deployments with AWS CodeDeploy
Bokeh example (left) and Dash example (right)
Bokeh example (left) and Dash example (right).
A view of the traffic shifting in AWS.
Data Storage
Gimel: PayPal’s Analytics Data Processing Platform
Gimel's ecosystem.
Postgres as the Substructure for IoT and the Next Wave of Computing
As devices get smaller, digitization becomes pervasive.
Data Analysis
The Data Modeling Layer in Startup Analytics - DBT vs Matillion vs LookML and More
Present Your Data Science Results in a Jupyter Notebook, the Right Way
Data Visualization
Bokeh vs Dash — Which is the Best Dashboard Framework for Python?
The same example used to compare Bokeh (left) and Dash (right).
Data-driven Products
The Third Wave: Democratization of Data Science/Algorithms
The three waves of AI.
Data Engineering Jobs
Data Engineer - Segment
Lead Data Engineer - Glassdoor
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