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SF Data Weekly - The Titanic, Data Lake Security and Redshift SUPER

July 2 · Issue #196 · View online
SF Data Weekly
Our pick this week is an excellent analysis of Titanic survivor data.
We also have a piece on AWS Lake Formation row- and column-level security, as well as the Redshift SUPER data type, which allows ingestion of unstructured data. Stay healthy!

Our Pick
Titanic — Predicting Survival rates using Machine Learning | by Punith | CodeX | Jun, 2021 | Medium
Data Pipelines
Work with semistructured data using Amazon Redshift SUPER | Amazon Web Services
Pushing Data from a Data Warehouse to Salesforce | Xplenty
Data Storage
Effective data lakes using AWS Lake Formation, Part 4: Implementing cell-level and row-level security | Amazon Web Services
GitHub - GoogleCloudPlatform/elcarro-oracle-operator
Data Analysis
An Extensive Cricket’s “Fab Four” Statistical comparison. | by Nishant Singh | Jun, 2021 | Medium
Data Visualization
How to style your Dataframe with Python | by June Tao Ching | Jun, 2021 | Towards Data Science
Grafana 8.0 Rethinks Alerts and Visualizations – The New Stack
Awesome data visualization tools for software developers
Data-driven Products
Exploring Data @ Netflix. By Gim Mahasintunan on behalf of Data… | by Netflix Technology Blog | Jun, 2021 | Netflix TechBlog
ArcGIS StoryMaps presents the timeline block
Data Engineering Jobs
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