Exam DP203 front-end services Azure Synapse Analytics Studio
First front-end_service is 1. Azure Synapse Analytics Studio
To open this, go into the Azure Synapse Analytics Workspace resource, and click a button to open the Azure Synapse Analytics Studio web app.
Pipelines.
Functions:
- Descriptive analytics
- Diagnostic analytics
- Predictive analytics
- Prescriptive analytics
A Workspace typically has a default data lake, which is implemented as a linked service to an Azure Data Lake Storage Gen2 container.
Note there are two meanings of the word "Workspace". The first one is that of the overall Azure Synapse Analytics Resource. The other is the name of the "Workspace" tab.
There are the following sections on the left-hand side:
- Home
- Data
- Develop
- Integrate
- Monitor
- Manage
Looking at these in more detail:
2. Data
Here there are two tabs:
- Workspace
- Linked
These in more detail:
Workspace
"Data Explorer" items allow you to explore data. This uses KQL - Kusto Query Language to do this.
Linked
Access by Azure Synapse Analytics Studio to files in Azure Data Lake Storage Gen2 is normally done in the "Linked" tab, under section "Azure Data Lake Storage Gen2" by adding a path to the files in Azure Data Lake Storage Gen2.
This involves providing credentials so that Azure Synapse Analytics Studio is able to connect to Azure Data Lake Storage Gen2.
3. Develop
Notebooks to run code on Apache Spark back-end.
4. Integrate
This is where Pipelines are developed.