From the course: Serverless Architecture

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Architecture: DataMesh

Architecture: DataMesh

- [Narrator] Now continuing on with this solution, of course you could view a Looker Studio dashboard and just for completeness, I'll show you what that looks like. And that could be edited as well. And then over in the solution, you can also use the BigQuery editor or a Colab notebook. So lots of variety in terms of accessing your data. But speaking of your data, if we're continuing on and we're trying to figure out how the data became a BigLake table, the processing that was used here was data processing with the serverless batch for Apache Spark. And you can see here that we had a batch for the initial setup that was using Pi Spark. And if you drill in, you can see that it's using an Apache Iceberg for the table. So to set up for the appropriate analysis on the table. And here shows you the information within the log and how it's associated to the BigLake catalog. Speaking of the catalog, that is a Dataplex…

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