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| September 11 · Issue #154 · View online |
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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!
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How Tekken Reinvented My Data Visualization Design Process | by Jane Zhang | Nightingale | Sep, 2020 | Medium
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Managing dependencies between data pipelines in Apache Airflow & Prefect | by Anna Anisienia | Sep, 2020 | Towards Data Science
Many workflow schedulers let us manage dependencies within a single data pipeline. But what if you have dependencies BETWEEN workflows? This article shows one easy way to organize data pipelines and their dependencies.
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Streaming data changes in MySQL into ElasticSearch using Debezium, Kafka, and Confluent JDBC Sink Connector | by Rizqi Nugroho | DANA Product & Tech | Sep, 2020 | Medium
Many production systems use MySQL as their database, and MySQL has a transaction log that should (in theory) allow capture of near-real-time data. This article is a step-by-step on how to capture transactions and push them into ElasticSearch.
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How to Upload Large Files to AWS S3 | by Harish Kotha | Expedia Group Technology | Sep, 2020 | Medium
An S3 object can be up to 5 TB in size, but the maximum chunk that can be uploaded in one operation is 5 GB. This article gives an example of how to use common CLI tools to upload files greater than 5 GB into S3, relatively painlessly.
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Fast and predictable performance with serverless compilation using Amazon Redshift | Amazon Web Services
How the recently launched Redshift serverless query compiler works, and how it provides an up to 2X increase in compile performance, with customer examples.
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The Analyst’s Bias. Why experimentation and data usage do… | by Dennis Meisner | Sep, 2020 | Towards Data Science
Is the analyst the new HiPPO? Why experimentation and data usage do not guarantee unbiased decision making.
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Ten Up-To-Date Ways to do Common Data Tasks in R | by Keith McNulty | Sep, 2020 | Towards Data Science
Whether or not you are a fan of the tidyverse, there is no doubt that this collection of R packages offers some neat and attractive ways of wrangling data that is often very intuitive to users. This piece looks at ten approaches to common data tasks enabled by the latest tidyverse updates.
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Updates to COVID-19 Power BI App on AppSource - DataChant
A comprehensive COVID-19 Power BI dashboard on AppSource is now available for free download in a new and improved version. New features include the ability to analyze down to the level of US state and county, dynamic running averages for countries or US states, and performance improvements.
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How to use Python Visuals in Power BI | by Shreyanshi shah | Analytics Vidhya | Sep, 2020 | Medium
The newest version of Power BI with Python integration opens up a number of options for Power BI visualizations, including the use of matplotlib and Seaborn. This piece includes a couple of code examples to demonstrate what this brings to Power BI.
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Edgar: Solving Mysteries Faster with Observability | by Netflix Technology Blog | Sep, 2020 | Netflix TechBlog
Tracing issues in a environment with a complex microservice architecture is challenging. This piece describes how Netflix uses Edgar to visualize traces to help engineers get to the bottom of issues in their core streaming offering, as well as other Netflix products.
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How Aruba Networks built a cost analysis solution using AWS Glue, Amazon Redshift, and Amazon QuickSight | Amazon Web Services
AWS cost analysis is a remarkably complex task to get right. This post shows how Aruba Networks built a cost dashboard using Redshift, Glue and QuickSight, all automated by Data Pipeline.
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