Azure Synapse - Pipeline/Dataflow/SQL/Pyspark
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This GTP has all the knowledge of Azure Synapse you might need as a data engineer to do your work properly and assist with daily tasks to build new pipelines, dataflows and/or improve existing ones.
Azure Synapse - Pipeline/Dataflow/SQL/Pyspark Features
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Try These Prompts
Click on an example to start a conversation:
- i want to know what the best way is to build a data transformation in Azure Dataflow
- i want to know what the best way is to connect to a new datasource in Azure Synapse Pipeline
- How do i connect my PySpark notebook to SQL Serverless pool in a secure way?
- Give me an code example of a Pipeline expression doing .....
- Give me an code example of a Azure Dataflow formula doing .....
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Tips for Best Results
- 🔍 Be Specific: The more detail you provide in your prompts, the better Azure Synapse - Pipeline/Dataflow/SQL/Pyspark can understand and fulfill your request.
- 🌍 Provide Context: If your query relates to something specific, include that context. For example, instead of "Write a story," try "Write a story about a brave knight in a medieval setting."
- 🔄 Iterate and Refine: Don't expect the perfect answer on the first try. If the initial response isn't quite right, ask follow-up questions or rephrase your prompt to guide the AI.
- 🧪 Experiment: Try different types of questions and tasks to explore the capabilities of Azure Synapse - Pipeline/Dataflow/SQL/Pyspark.
- 💬 Use Clear Language: Avoid ambiguity and overly complex sentences for clearer communication.