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SF Data Weekly - Visualizing Apartment Hunts and two ways to AB

Our pick this week is a visualization of an apartment hunt in Munich, which includes some really funn
October 23 · Issue #160 · View online
SF Data Weekly
Our pick this week is a visualization of an apartment hunt in Munich, which includes some really funny charts in addition to the serious ones. We also have two interesting pieces on AB testing at Best Buy and Facebook. Stay Healthy!

Our Pick
Munich: Our apartment hunting pain in numbers and graphs | by Daniel Ko | Oct, 2020 | Medium
Data Pipelines
Orchestration Frameworks for Big Data | by Javier Ramos | Oct, 2020 | ITNEXT
Analyzing healthcare FHIR data with Amazon Redshift PartiQL | Amazon Web Services
Data Storage
Get started with Amazon Redshift cross-database queries (preview) | Amazon Web Services
Meet whale! 🐳 The stupidly simple data discovery tool. | by Robert Yi | Dataframe | Oct, 2020 | Medium
Data Analysis
5 Data Granularity Mistakes That May Cost You | by Elena Marocco | Towards AI | Oct, 2020 | Medium
Loading large datasets in Pandas. Effectively using Chunking and SQL for… | by Parul Pandey | Oct, 2020 | Towards Data Science
Data Visualization
Milestones in the History of Data Visualization | by Edward De Jesus | Oct, 2020 | Medium
Explore Public Datasets with Google BigQuery and DataStudio | by Joe T. Santhanavanich | Oct, 2020 | Towards Data Science
Data-driven Products
What To Do When You Can’t AB Test | by Joshua Loong | Oct, 2020 | Towards Data Science
Increasing the sensitivity of A/B tests by utilizing the variance estimates of experimental units - Facebook Research
Data Engineering Jobs
My Experience as a Data Scientist vs. a Data Analyst | by Vicky Yu | Oct, 2020 | Towards Data Science
Use Intermix to understand your data warehouse performance. - Intermix gives you complete visibility into your data platform, showing who is touching your data, and how it’s being used.
Integrate your data sources quickly and easily with Xplenty. - Our drag-and-drop tool facilitates painless ETL and ETLT. Trusted by companies like Gap, Samsung and Ikea for their data pipelines.
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