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Azure Data Factory [ADF]

Simplify hybrid data integration at enterprise scale.

Azure Data Factory is Azure's cloud ETL service for scale-out serverless data integration and data transformation. It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management. You can also lift and shift existing SSIS packages to Azure and run them with full compatibility in ADF. SSIS Integration Runtime offers a fully managed service, so you don't have to worry about infrastructure management.

With Fabric, you don't need to assemble different services from multiple vendors. Instead, it offers a seamlessly integrated, user-friendly platform that simplifies your analytics requirements. Operating on a Software as a Service (SaaS) model, Fabric brings simplicity and integration to your solutions.

Microsoft Fabric integrates separate components into a cohesive stack. Instead of relying on different databases or data warehouses, you can centralize data storage with OneLake. AI capabilities are seamlessly embedded within Fabric, eliminating the need for manual integration. With Fabric, you can easily transition your raw data into actionable insights for business users.

What can you do in Azure Data Factory?

You can do many things in Azure Data Factory. I like to simplify it to two main tasks. You can copy data and you can transform data. Both of these tasks can be automated and scheduled.

Copy Data: Copying (or ingesting) data is the core task in Azure Data Factory. You can copy data to and from more than 90 Software-as-a-Service (SaaS) applications (such as Dynamics 365 and Salesforce), on-premises data stores (such as SQL Server and Oracle), and cloud data stores (such as Azure SQL Database and Amazon S3). During copying, you can even convert file formats, zip and unzip files, and map columns implicitly and explicitly - all in one task.

Transform Data: In addition to copying data, you can also transform data. Previously, the only way to do this was to use external services like Azure HDInsight or SQL Server Stored Procedures. But in 2019, Azure Data Factory completed the data integration story by adding new data transformation capabilities called Data Flows. Now you can both copy and transform data in the same user interface, making Azure Data Factory a complete ETL and data integration tool.

Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation.

ADF does not store any data itself. It allows you to create data-driven workflows to orchestrate the movement of data between supported data stores and then process the data using compute services in other regions or in an on-premise environment. It also allows you to monitor and manage workflows using both programmatic and UI mechanisms

⦾ ADF Supporting data migrations

⦾ Getting data from a client’s server or online data to an Azure Data Lake

⦾ Carrying out various data integration processes

⦾ Integrating data from different ERP systems and loading it into Azure Synapse for reporting

Core Benefits of Using Azure Data Factory

Simplified Data Integration and Cost-Effectiveness One of the standout features of ADF is its extensive range of built-in connectors. These connectors facilitate the easy ingestion of data from a multitude of sources, both on-premises & in the cloud. Here are the 10 most important connectors, each serving a critical role in enterprise data integration:.

1. Azure Blob Storage: For integrating large amounts of unstructured data..

2. Azure SQL Data Warehouse:: Ideal for large-scale data analytics.

3. Azure Cosmos DB: For globally distributed, multi-model databases.

4. Azure Table Storage:: For NoSQL data.

5. SQL Server: For on-premises SQL databases.

6. Oracle: For integrating data from Oracle databases.

7. MySQL:Widely used for web-based applications

8. SAP: For integrating enterprise resource planning (ERP) data.

9. Salesforce: For CRM data integration.

10. Amazon S3: For integrating data stored in Amazon's cloud storage.

ADF supports 4 types of Triggers:

Best practices -Designing ADF pipelines

API Tools for data pipelines in ADF

Integration benefits large enterprises:

Azure Data Factory [ADF]

What can you do in Azure Data Factory?

Core Benefits of Using Azure Data Factory

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