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In this video, we'll learn how to build an interactive Streamlit application using chdb to analyze household energy usage data. We'll generate plot.ly charts showing the cost of energy usage over the last year, as well as doing what-if analysis to compare energy costs across timeframes and tariffs.

Mark Needham
Principal Product Marketing Manager, ClickHouse

What-If energy cost analysis with Streamlit and ClickHouse

Linux, macOS, FreeBSD

"ClickHouse has been great for us. It has solved all the use cases we have thrown at it"

Ritesh Varyani
Senior Software Engineer, Lyft

ClickHouse & Lyft

In this video, we'll learn how to import Numpy array files into ClickHouse. We'll be using the LAION multi modal dataset, which provides Numpy files for text and image embeddings, as well as metadata in Parquet format. We'll join the data from these files together using the recently added PASTE JOIN.

Videos / How to

Importing Numpy array files into ClickHouse

Mark Needham Principal Product Marketing Manager, ClickHouse

Recent videos