Advancing Fabric - The Data Engineering Experience

The next Microsoft Fabric experience we're diving into is Data Engineering - this is where we can use the power of Spark to gain massive performance and huge automation gains. We can create notebooks, quickly spin up a session and start querying both files and tables in our Lakehouse objects.
In this video, Simon & Craig look at building a sample notebook, querying some parquet files and writing it back down to Delta tables within our Lakehouse, including a quick hack to automate writing many tables at once.
If you're just getting started with the Data Engineering experience, check out the docs here: learn.microsoft.com/en-us/fab...
And if you're thinking about starting on your Microsoft Fabric journey, Advancing Analytics can help you get there faster, and help you to get it right first time!

[@rhambo5554]

Bit concerning at the moment notebooks are unsupported for Git integration & deployment pipelines, hopefully we can get some support either in Fabric or via an API for DevOps prior to GA.

[@mwaltercpa]

Learning pyspark in Fabric, love the tips!

[@keen8five]

I'd love to learn more about custom pools

[@jorgbender2763]

Would have been great if you showed the initial ingestion step of how to get these parquet files into the Lakehouse :) all in all great video ! Keep them coming guys #fabricators

[@AdvancingAnalytics]

Yep, we'll do a "getting data into Fabric" episode soon, so we didn't cover it here!

[@DeyvidCabral]

Does it able to set a version control in notebooks using devops?

[@joaoluismartins]

Very nice video! A quick question: when you created the tables using the files, does the data duplicate in fabric, i.e., more onelake usage?

[@hellhax]

Does VS Code extension allow you to run spark commands remotely? Similarly to how it works for AzureML? If so, that would be fantastic and a major advantage over mediocre Databricks vs code extension...

[@willwang9673]

yes, it does support this scenario.

[@vt1454]

From Databricks perspective a lakehouse is logical place inclusive of all 3 zones - bronze | silver | gold - even though on physical plane these can be in separate storage account or containers. The terminology in Fabric for using separate lake house for each of the 3 layers is confusing.

[@stephenpace7928]

How long does a custom Spark cluster generally take to start?