View profile

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

Revue
 
 
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
Did you enjoy this issue?
If you don't want these updates anymore, please unsubscribe here.
If you were forwarded this newsletter and you like it, you can subscribe here.
Powered by Revue
650 California St., San Francisco, CA 94108