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SF Data Weekly - Data Pipelines for Startups, The Economist DataViz, Cloud Notebooks

April 1 · Issue #109 · View online
SF Data Weekly
Our Pick
Data Science for Startups: Data Pipelines
Components in a managed Analytics Architecture (GCP).
Data Pipelines
Lambda Architecture: How to Build a Big Data Pipeline, Part 1
A high level overview of the system architecture.
Performance of Pipeline Architecture: The Impact of the Number of Workers
Building Open Source Google Analytics from Scratch
A sample architecture of the web analytics backend.
Data Storage
Power IoT and Time-series Workloads with TimescaleDB for Azure Database for PostgreSQL | Microsoft Azure
Insertion performance of Azure PostgreSQL with and without TimescaleDB.
Concurrency Scaling for Amazon Redshift | AWS
Granting Fine-grained Access to the Amazon Redshift Management Console | AWS
Data Analysis
Six Easy Ways to Run Your Jupyter Notebook in the Cloud
Azure Notebooks is a nice cloud solution built on top of Jupyter.
Data Visualization
Mistakes, We’ve Drawn a Few – The Economist
Mistake: confusing use of color.
Data-driven Products
Learn Enough Docker to be Useful
Data Engineering Jobs
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