|
December 3 · Issue #218 · View online |
|
Our pick this week is an article about using data visualization to teach kids about data. We also have lessons learned from building Facebook’s Delos database, and a piece on R libraries that you should choose over Python. Stay healthy!
|
|
|
Drawing Data with Kids | Nightingale
Introducing kids to data using data visualizations, with activities you can use with your kids.
|
|
How to process a DataFrame with millions of rows in seconds? | by Roman Orac | Nov, 2021 | Towards Data Science
How to use a new cloud-based Python Data Processing Engine.
|
5 Tips for Pushing Data from Your Warehouse to Salesforce | Xplenty
One of Salesforce’s best features is its ability to run BI and analytics workloads to identify hidden trends and insights. So why not perform analysis from your many sources within Salesforce itself? Here’s how. [Sponsored]
|
|
42 things I learned from building a production database | mahesh’s blog
Mahesh led the three-person team that built a core piece of Facebook’s production data infrastructure. He shares his lessons learned.
|
What is a Data Lakehouse?. New Paradigm or just a Buzzword? | by Christianlauer | Geek Culture | Nov, 2021 | Medium
What are Data Lakehouses? Just another buzzword or actually the successor to Data Lakes and Warehouses? This post is a basic introduction to the concept.
|
|
End-to-end machine learning project: Telco customer churn | by Amanda Iglesias Moreno | Nov, 2021 | Towards Data Science
An example ML project to predict churn using real-world telco data sourced from Kaggle.
|
Three R Libraries Every Data Scientist Should Know (Even if You Use Python) | by Terence Shin | Nov, 2021 | Towards Data Science
A couple of use cases where R beats Python, from someone who formerly wouldn’t use R since he thought Python was better.
|
|
Data Visualization Before Machine Learning | by Benoit Pimpaud | Nov, 2021 | Towards Data Science
A full-stack data scientist shares how he determines whether a given project would be better served with visualization instead of machine learning.
|
I’ve Stopped Using Box Plots. Should You? | Nightingale
After having explained how to read box plots to thousands of workshop participants, the author now believes that they’re poorly conceived.
|
|
Product usage analytics at Pipedrive | by Kadri Lenk | Pipedrive Engineering | Nov, 2021 | Medium
How Pipedrive, a CRM company, set up a product analytics and usage tracking process.
|
How Uber Migrated Financial Data from DynamoDB to Docstore
Uber’s LedgerStore was an immutable, ledger-style database built on DynamoDB. How Uber migrated from this solution to an in-house, homegrown database.
|
|
What is BI Engineering?. The data analysis profession has… | by Sourav Sikka | Nov, 2021 | Lambda
What’s a BI Engineer? Read this piece to find out more about the role, and how it fits with other players in a company’s data infrastructure.
|
|
Did you enjoy this issue?
|
|
|
|
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
|
|
650 California St., San Francisco, CA 94108
|