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November 19 · Issue #216 · View online |
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This week’s pick is an interview with the data visualization team responsible for the data visualizations shared at the recent UN Climate Change Conference (COP26). We also have a piece on streaming data from Google Cloud to Elastic Cloud, and an introduction to the new GeoPandas interactive data visualization functions. Stay healthy!
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Communicating Climate Risk: Insights from the IPCC Information Design Team | Nightingale
An interview with four members of the core design team who created the Intergovermental Panel on Climate Change climate report for COP26.
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Connect to Google Cloud to Elastic with purpose-built Dataflow templates | Google Cloud Blog
Learn how to set up a streaming pipeline for Google Cloud data into Elastic Cloud and Elastic Stack with new purpose-built Dataflow templates.
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Create a serverless event-driven workflow to ingest and process Microsoft data with AWS Glue and Amazon EventBridge | Amazon Web Services
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.
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How to create a Salesforce ETL pipeline in less than 30 minutes | Xplenty
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]
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Five of the Best Data Science Projects from 2021 | by Terence Shin | Nov, 2021 | Towards Data Science
Five great Kaggle analysis projects using data from Netflix, the Olympics and Reddit, as well as data science salary trends and happiness analysis.
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📢 Announcing PyCaret’s New Time Series Module | by Moez Ali | Nov, 2021 | Towards Data Science
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.
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Interactive Geographical maps with GeoPandas | by Parul Pandey | Nov, 2021 | Towards Data Science
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.
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GitHub - rougier/scientific-visualization-book: An open access book on scientific visualization using python and matplotlib
This free book is an in-depth treatise on python and matplotlib, from the basics of the library to 3D visualizations and animation.
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How Google Cloud BigQuery enables big DevOps at JFrog | Google Cloud Blog
JFrog is a DevOps platform that uses BigQuery and Data Studio for log analysis and visualization.
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How Roche democratized access to data with Google Sheets and Amazon Redshift Data API | Amazon Web Services
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.
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Five Questions to Ask When Starting Out in Dataviz at a Consulting Firm | Nightingale
How to set yourself up for success as a dataviz professional at a management consulting firm.
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