Action through Data

Analytics Simplified

Synapse Analytics

Demonstration

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Ingest

As toolsets improve, the traditional analytics workflow of Ingest, Store, Enrich and Publish has blurred. Below are links to how Microsoft thinks about Data Ingestion and some articles for handling ingestion when using a specific platform or service.

• Choose a real-time message ingestion technology in Azure

• High throughput stream ingestion to Azure Synapse

• Ingestion, ETL, and stream processing pipelines with Azure Databricks

• The ingest process with cloud-scale analytics in Azure

• Data agnostic ingestion engine

• Data ingestion options for Azure Machine Learning workflows

• Load data into Azure Data Lake Storage Gen2 with Azure Data Factory

• Pipelines and activities in Azure Data Factory and Azure Synapse Analytics

• Ingesting data into Azure Synapse Analytics using PolyBase

• Azure Synapse Data Explorer data ingestion overview (Preview)

• Azure Data Explorer data ingestion overview