SF Data Weekly - Not Anonymous, Augmented Databases and 100

Data brokers claim that deidentified data on millions of Americans is risk-free. This piece argues that anonymized data is not really anonymous – important background for anyone trying to share anonymized customer data.

Apache HBase is a non-relational database. To use the data, applications need to query the database to pull the data and changes from tables. This piece introduces a mechanism to stream Apache HBase edits into streaming services such as Apache Kafka or Amazon Kinesis Data Streams.

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A good overview of the major changes and updates that Amazon made to Redshift in 2021.

This piece is a basic introduction to augmented data management, which uses ML and AI techniques to optimize and improve operations.

Eight important techniques to make your Jupyter or RMarkdown notebooks more easily maintained and reproducible.

How the author’s not-quite-full pie chart led her to understand the importance of 100.

How the author created dashboards as part of his hobby of following the commodities and futures markets.

How to learn from misleading data visualization examples to minimize the risk of bad data presentation that may lead to poor business decisions.

Belcorp is one of the main consumer packaged goods (CPG) companies providing cosmetics products for 13 countries in North, Central, and South America. This post describes their approach to creating a data lake using an auto scaling EMR cluster.

Twitter Notebook is Twitter’s internal notebook solution for Data Scientist and Machine Learning practitioners at Twitter. This piece describes how Twitter implemented a number of features to improve the notebook experience.