In my last post I recommended using Avro for file storage in a data lake. It has the benefits of compact storage and a schema in every file that tells you what data it holds. In this post I show three ways to generate Avro files: one in Java, and two in Python.
I’ve never been a JSON hater, but I’ve recently run into enough pain with JSON as a data serialization format that my feelings are edging toward dislike. However, JSON is a fact of life in most data pipelines, especially those that receive event-stream data from a third-party supplier. This post reflects on some of the problems that I’ve seen, and solutions that I’ve used
More, cheaper, faster: our own Keith Gregory recounts the changes in big data, data storage, and data engineering over the last two decades.
