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Co-authored-by: Lorena Bălan <lorena.balan@quantumblack.com>

Author: deepyaman

docs/source/10_deployment/12_dask.md

@@ -2,11 +2,11 @@
 
 This page explains how to distribute execution of the nodes composing your Kedro pipeline using [Dask](https://docs.dask.org/en/stable/), a flexible, open-source library for parallel computing in Python.
 
-Dask offers both a default, single-machine scheduler and a more sophisticated, distributed scheduler. The newer [`dask.distributed`](http://distributed.dask.org/en/stable/) scheduler is often preferable, even on single workstations, and is the focus of our deployment guide. For more information on the multitude of ways to set up Dask on varied hardware, see [the official how-to guide](https://docs.dask.org/en/stable/how-to/deploy-dask-clusters.html).
+Dask offers both a default, single-machine scheduler and a more sophisticated, distributed scheduler. The newer [`dask.distributed`](http://distributed.dask.org/en/stable/) scheduler is often preferable, even on single workstations, and is the focus of our deployment guide. For more information on the various ways to set up Dask on varied hardware, see [the official how-to guide](https://docs.dask.org/en/stable/how-to/deploy-dask-clusters.html).
 
 ## Why would you use Dask?
 
-`Dask.distributed` is a lightweight library for distributed computing in Python. It complements the existing PyData analysis stack, which forms the basis of many Kedro pipelines. It's also pure Python, which eases installation and simplifies debugging. For further motivation on why people choose to adopt Dask, and, more specifically, `dask.distributed`, see [Why Dask?](https://docs.dask.org/en/stable/why.html) and [the `dask.distributed` docs](http://distributed.dask.org/en/stable/#motivation), respectively.
+`Dask.distributed` is a lightweight library for distributed computing in Python. It complements the existing PyData analysis stack, which forms the basis of many Kedro pipelines. It's also pure Python, which eases installation and simplifies debugging. For further motivation on why people choose to adopt Dask, and, more specifically, `dask.distributed`, see [Why Dask?](https://docs.dask.org/en/stable/why.html) and [the `dask.distributed` documentation](http://distributed.dask.org/en/stable/#motivation), respectively.
 
 ## Prerequisites