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SF Data Weekly - Coffee Time? Hacking Tableau and Migrating to Google Cloud

Our pick this week is a data visualization of how coffee affects your system, including a calculator
September 25 · Issue #156 · View online
SF Data Weekly
Our pick this week is a data visualization of how coffee affects your system, including a calculator you can try out yourself at your next coffee break.
We also have an interesting piece on Tableau’s culture of hackathons, the ultimate guide to migrating to Google Cloud, and a piece that will help you avoid mistakes when migrating large S3 buckets. Stay healthy!

Our Pick
Interactive: Visualizing Caffeine & Bedtime | by Eli Holder | Sep, 2020 | Towards Data Science
Data Pipelines
A guide to all the Google Cloud migration guides | Google Cloud Blog
Building an AWS Glue ETL pipeline locally without an AWS account | Amazon Web Services
Streaming data from Amazon S3 to Amazon Kinesis Data Streams using AWS DMS | Amazon Web Services
Data Storage
It Took Two Days and Seven Engineers to Move Data Between Two S3 Buckets | by Anna Anisienia | Better Programming | Sep, 2020 | Medium
Using the Amazon Redshift Data API to interact with Amazon Redshift clusters | Amazon Web Services
Data Analysis
Introducing PyTorch Forecasting | by Jan Beitner | Towards Data Science
Introduction to Schema: A Python Libary to Validate your Data | by Khuyen Tran | Sep, 2020 | Towards Data Science
Data Visualization
Make Your Pandas DataFrame Output Report-Ready | by Christopher Tao | Sep, 2020 | Towards Data Science
Data-driven Products
Hacking @ Tableau. Heatmaps, Set Actions, Step Lines, the… | by John Dance | Sep, 2020 | Tableau Engineering Blog
Analytics at Netflix: Who we are and what we do | Netflix TechBlog
Data Engineering Jobs
Intermix - build better data products with analytics into your data warehouse. Complete visibility into your data platform, who is touching your data, and how it’s being used.
Xplenty. - the leading data integration platform to bring all your data sources together. Trusted by companies like Gap, Samsung, Ikea, and Masterclass for their data pipelines.
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