Data Factory connects to and retrieves data from numerous data sources, transfers the data to a central location and performs data processing to clean and enrich this data.
You can take advantage of data flows to create and manage data transformation graphs - without having to know anything about Spark clusters or Spark programming. Once saved in a centralized data storage location, the data can be transformed using Azure Data Lake Analytics, HDInsight Hadoop and Machine Learning. The next step is to consolidate the data stored in on-premises and cloud-based data repositories into a single location in the cloud, where it can be analyzed further. Since the data is time-sliced, you can select either a one-time or a scheduled pipeline mode.
Azure Data Factory can connect to all your data and processing sources, including SaaS, file sharing and other internet services. Typically, Azure Data Factory works by following the steps outlined below: Azure Active Directory is used for authentication and authorization, which secures your data. Azure Data Factory scales up or down as needed, so you pay only for resources consumed. Azure Data Factory offers a flexible platform that you can connect with diverse data sources both within and outside Azure. This reduces development time and increases productivity. With the drag-and-drop interface, you can create and schedule data pipelines without having to write complex code. Save on infrastructure costs by using the cloud rather than on-premises resources. The benefits of Azure Data FactoryĪzure Data Factory provides several benefits, including the following: You can track the progress of the data migration, monitor its performance in real time and receive notifications if something goes wrong. These pipelines ingest data from multiple sources, process it, transform it and load it into your data stores and warehouses for downstream analytics and reporting. The platform is convenient to build data pipelines that are scalable and useful. An organization can use it to build data-driven workflows for transforming, orchestrating and automating the movement of data between supported data stores. Create a new Azure blob container, and upload a text file.Īzure Data Factory is a fully managed and serverless data integration platform in the cloud.Create an Azure storage account you'll use it later in this tutorial.If you don't already have an Azure account, create one for free.To be able to create Data Factory instances, your Microsoft Azure user account needs to have an administrator or contributor role.
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