From 3513b7c99f1a06d63c9bf4e3aedb386f595cc830 Mon Sep 17 00:00:00 2001 From: ckurze Date: Fri, 19 Apr 2024 09:12:14 +0200 Subject: [PATCH] Added dask to README --- topic/timeseries/README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/topic/timeseries/README.md b/topic/timeseries/README.md index 17800313..5a5acd36 100644 --- a/topic/timeseries/README.md +++ b/topic/timeseries/README.md @@ -51,6 +51,9 @@ repository, e.g. about machine learning, to see predictions and AutoML in action To ensure the dashboard functions correctly, it's necessary to configure the data source within Grafana. This dashboard uses the `grafana-postgresql-datasource` or another configured default data source. In the data source settings, fill in the necessary parameters to connect to your CrateDB instance. This includes setting up the database name (`database=doc`), user, password, and host. +- `dask-weather-data-import.ipynb` [![Open on GitHub](https://img.shields.io/badge/Open%20on-GitHub-lightgray?logo=GitHub)](dask-weather-data-import.ipynb) [![Open in Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/timeseries/dask-weather-data-import.ipynb) + + This notebook walks you through an example to download and insert a larger data set via pandas and dask into CrateDB utilizing dask's capabilities to parallelize operations. ## Software Tests