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SF Data Weekly - Visualizing Visualization Libraries, Databricks and Snowflake

October 2 · Issue #157 · View online
SF Data Weekly
This week’s pick is a comprehensive visualization of different data visualization libraries. We also have some experience-based pieces on using Spark and Databricks, as well as Snowflake implementation tips. Stay healthy!

Our Pick
Navigating the Wide World of Data Visualization Libraries | by Krist Wongsuphasawat | Nightingale | Sep, 2020 | Medium | Nightingale
Data Pipelines
Spark & Databricks: Important Lessons from My First Six Months | by Daniel Harrington | Sep, 2020 | Towards Data Science
Data Storage
Best practices using AWS SCT and AWS Snowball to migrate from Teradata to Amazon Redshift | Amazon Web Services
The top four things to get right when implementing Snowflake | by David Oyegoke | Slalom Data & Analytics | Sep, 2020 | Medium
Data Analysis
Exploratory Data Analysis (EDA) on Satellite Imagery Using EarthPy | by Syam Kakarla | Sep, 2020 | Towards Data Science
Time Series Forecasting With SQL — It’s Easier Than You Think | by Dario Radečić | Sep, 2020 | Towards Data Science
How to Plan and Organize a Data Science Project? | by Yin Zhang | Towards Data Science
Data Visualization
Want Some Bubbles With Your Donut…Chart? | by headonkeyboard | The Startup | Sep, 2020 | Medium
Data-driven Products
Introducing visx from Airbnb. A collection of expressive, low-level… | by Chris C Williams | Airbnb Engineering & Data Science | Sep, 2020 | Medium
Meet your 2020 ArcGIS StoryMaps Competition judges at the Storytelling for the SDGs webinar
Data Engineering Jobs
ETL made easier with Xplenty
Xplenty Platform Demo: Extracting and Transforming Data with Teri Morgan
Xplenty is an ETL solution with a visual interface that accelerates the ETL process. This demo shows extracting e-commerce order data, calling a foreign exchange API during the pipeline to get FX rates for currency localization, and then loading the enhanced order data into Snowflake.
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.
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