We started with a setup of synapse workspace and initiated access to Azure Synapse Studio. We explored various options, views, features, and tools offered in the studio and understood what it offers and when to use the same. An induction to Azure Synapse Studio provides the right level of awareness to use this tool to its maximum potential.
From Synapse studio look at the left bottom menu, as shown in figure 3. Those the last icon that looks like a toolbox. This is the Manage selection. Then choose the Git configuration item int eh menu that is shown to the right of this icon. In the main pane, select configure.
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Once we've signed in, we can go ahead and explore the az synapse CLI commands. The ones we're particularly interested in are the az synapse role CLI commands, which are split into assignment commands and definition commands commands. The definition commands provide details of the Synapse Studio roles. Running the following:
When adding Python libraries that are publicly available, I prefer to use pool packages via a requirements.txt file or environment.yml file. For custom packages, you could publish those to a private channel and make that available but it will likely be easiest to just add them as workspace packages. Using session packages or adding libraries directly to the synapse folders in ADLS are other options that are more complicated to use long term.
Source : -us/azure/synapse-analytics/cicd/continuous-integration-deployment#:~:text=In an Azure Synapse Analytics workspace%2C continuous integration,workspace to another workspace%2C there are two parts . ff782bc1db
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