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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.

Therefore, these endpoints are required by Synapse's orchestration (the studio UI, Synapse Pipeline, etc.) to communicate with the 2 SQL pools; dedicated and serverless... Thiswill make more sense once you see the detailed architecture diagram.

You might've noticed in the list of private endpoint, we only had 3 of them while your workspace has 4 endpoints.That's because the studio workspace web URL will need a Private Link Hub to setup the secured connection.

Business intelligence has always been restricted by the problems inherent with different teams and technologies working together toward a common goal. A team that works on data transformation processes, for example, is often unfamiliar with how these processes impact downstream applications such as Power BI. The ability to clearly communicate across teams is different to get intended results in a timely manner.

Azure Synapse brings together data tools and teams, enabling greater transparency and productivity across companies. Specifically, all teams utilizing Azure Synapse access a common user interface in the Azure Synapse studio, and so all users, regardless of their primary tools or skills, are able to view and analyze the same data.

In the Azure Synapse studio, the web-based portal is accessible from an Azure Synapse workspace in Azure, and multiple data development experiences are available, including Power BI reports and datasets.

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