安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- Fabric Use case : Sync dataflow and dataset refresh
If you have a dataflow that refreshes your transaction table, the basic setup is to refresh your dataset at the next 30 minutes increment, for example your dataflow refresh starts at 1PM then you'll set your model to refresh at 13:30
- Create and use dataflows in Power Apps - Power Apps
With advanced data preparation available in Power Apps, you can create a collection of data called a dataflow, which you can then use to connect with business data from various sources, clean the data, transform it, and then load it to Microsoft Dataverse or your organization’s Azure Data Lake Gen2 storage account
- Data Synchronization – Best Practices In the Gen AI Era
Synchronization ensures all platforms operate on consistent datasets for precise targeting and inventory alignment Unified data thus ensures all systems reflect the same reality It reduces redundancy and prevents discrepancies between platforms
- Building MLflow Evaluation Datasets | Databricks Documentation
Learn how to build MLflow Evaluation Datasets for your GenAI applications using various methods including from traces, from scratch, importing existing data, or synthetic generation to systematically test and improve quality
- Synthetic dataset generation techniques: Self-Instruct - Hugging Face
In its simplest form, you could create synthetic instruction following datasets using an LLM to generate responses to handwritten prompts instructions However, for many applications, there are a considerable number of prompts you may want to have in your final datasets
- Datasets - Azure Data Factory Azure Synapse | Microsoft Learn
To create a dataset with the Synapse Studio, select the Data tab, and then the plus sign icon, to choose Integration dataset You’ll see the new integration dataset window to choose any of the connectors available in Azure Synapse, to set up an existing or new linked service
- Data flows - Azure Synapse Analytics | Microsoft Learn
Data flows are visually designed data transformations in Azure Synapse Analytics Data flows allow data engineers to develop data transformation logic without writing code The resulting data flows are executed as activities within Azure Synapse Analytics pipelines that use scaled-out Apache Spark clusters
- Ingest Dataverse data with Azure Data Factory - Power Apps
After exporting data from Microsoft Dataverse to Azure Data Lake Storage Gen2 with Azure Synapse Link for Dataverse, you can use Azure Data Factory to create dataflows, transform your data, and run analysis
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