What data transformation library should I use...

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<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Python has beome the de facto language for working with data. That has brought with it a number of challenges having to do with the speed and scalability of working with large volumes of information.There have been many ...

See the full show notes for this episode on the website at talkpython.fm/454 

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

The most expensive part of working with massive data sets is the work of retrieving and processing the files that contain the raw information. FeatureBase (formerly Pilosa) avoids that overhead by converting the data int ...

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Transactional databases used in applications are optimized for fast reads and writes with relatively simple queries on a small number of records. Data warehouses are optimized for batched writes and complex analytical qu ...