SF Data Weekly - COP26 DataViz, Dataflow Automation and GeoPandas

An interview with four members of the core design team who created the Intergovermental Panel on Climate Change climate report for COP26.

Learn how to set up a streaming pipeline for Google Cloud data into Elastic Cloud and Elastic Stack with new purpose-built Dataflow templates.

Microsoft SharePoint is a document management system for storing files, organizing documents, and sharing and editing documents in collaboration with others. Getting usable data from SharePoint is a a challenge – this piece shows how Glue and EventBridge can help make SharePoint data part of your data lake.

We’ll show you how easy it is to create a Salesforce ETL pipeline so you can migrate your Salesforce data to a data warehouse or data lake for analytics and reporting. [Sponsored]

Five great Kaggle analysis projects using data from Netflix, the Olympics and Reddit, as well as data science salary trends and happiness analysis.

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. The new time series module lets you perform testing, model training, selection and analysis, and a host of other functionality with just a few lines of code.

GeoPandas is a widely used open-source library for geospatial data in Python. It is already widely used for static maps. The most recent update adds interactive functionality like zoom, pan, hover and popups.

This free book is an in-depth treatise on python and matplotlib, from the basics of the library to 3D visualizations and animation.

JFrog is a DevOps platform that uses BigQuery and Data Studio for log analysis and visualization.

Roche, the largest pharmaceutical company in the world, uses gSheets to present Go To Market data to customers. They’ve automated that process using Redshift and Google Apps Script. This piece includes examples.

How to set yourself up for success as a dataviz professional at a management consulting firm.