![]() Running Singer integrations on Stitch’s platform allows users to take advantage of Stitch's monitoring, scheduling, credential management, and autoscaling features. Singer integrations can be run independently, regardless of whether the user is a Stitch customer. Customers can contract with Stitch to build new sources, and anyone can add a new source to Stitch by developing it according to the standards laid out in Singer, an open source toolkit for writing scripts that move data. Stitch supports more than 100 database and SaaS integrationsas data sources, and eight data warehouse and data lake destinations. It also acts as a single point for accurate and consistent data. This centrally collected data, in the repository, makes it easier to analyze further and handle the data. The Airflow community has built plugins for databases like MySQL and Microsoft SQL Server and SaaS platforms such as Salesforce, Stripe, and Facebook Ads. The Extract, Transform, and Load (ETL) is a process that extracts, transforms, and loads data from multiple sources to a data warehouse or a unified data repository. In addition, Airflow supports plugins that implement operators and hooks - interfaces to external platforms. Developers can create operators for any source or destination. It run tasks, which are sets of activities, via operators, which are templates for tasks that can by Python functions or external scripts. Apache AirflowĪirflow orchestrates workflows to extract, transform, load, and store data. Connectors: Data sources and destinationsĮach of these tools supports a variety of data sources and destinations.
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