SF Data Weekly - Power BI, Analyst Bias and Tekken-inspired Data Viz





September 11 · Issue #154 · View online
SF Data Weekly
Our feature this week is about the Japanese fighting game, Tekken, and how the author used data visualization to explain the game’s fighting techniques. It’s a fascinating deep dive into how she used some unconventional techniques, and original thinking, to approach a project that wouldn’t normally involve data visualization.
Power BI is a pretty widely-used tool that doesn’t seem to get as much attention as more popular tools, so this week we feature a very impressive Power BI COVID dashboard, as well as a tutorial on how to use Python with Power BI. And we also look at whether data analysts are the new HiPPOs. Stay healthy!

Our Pick
How Tekken Reinvented My Data Visualization Design Process | by Jane Zhang | Nightingale | Sep, 2020 | Medium
Data Pipelines
Managing dependencies between data pipelines in Apache Airflow & Prefect | by Anna Anisienia | Sep, 2020 | Towards Data Science
Streaming data changes in MySQL into ElasticSearch using Debezium, Kafka, and Confluent JDBC Sink Connector | by Rizqi Nugroho | DANA Product & Tech | Sep, 2020 | Medium
Data Storage
How to Upload Large Files to AWS S3 | by Harish Kotha | Expedia Group Technology | Sep, 2020 | Medium
Fast and predictable performance with serverless compilation using Amazon Redshift | Amazon Web Services
Data Analysis
The Analyst’s Bias. Why experimentation and data usage do… | by Dennis Meisner | Sep, 2020 | Towards Data Science
Ten Up-To-Date Ways to do Common Data Tasks in R | by Keith McNulty | Sep, 2020 | Towards Data Science
Data Visualization
Updates to COVID-19 Power BI App on AppSource - DataChant
How to use Python Visuals in Power BI | by Shreyanshi shah | Analytics Vidhya | Sep, 2020 | Medium
Data-driven Products
Edgar: Solving Mysteries Faster with Observability | by Netflix Technology Blog | Sep, 2020 | Netflix TechBlog
How Aruba Networks built a cost analysis solution using AWS Glue, Amazon Redshift, and Amazon QuickSight | Amazon Web Services
Data Engineering Jobs
Intermix - build better data products with analytics into your data warehouse. Complete visibility into your data platform, who is touching your data, and how it’s being used.
Xplenty. - the leading data integration platform to bring all your data sources together. Trusted by companies like Gap, Samsung, Ikea, and Masterclass for their data pipelines.
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