Concepts to Know > Concepts to Know > Introduction to DataFlow
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Introduction to DataFlow
 
Overview
Performance and Scalability
Concurrency and Parallelism
Dataflow
This section covers high-level concepts about dataflows and the Actian DataFlow architecture. It is a good place to start learning about the building blocks of DataFlow before creating applications or custom operators.
• For an understanding of the basic computing issues DataFlow is intended to address, see Overview.
• To learn about how applications are described and executed in DataFlow, refer to Application Model and Execution Modes. Functions discusses a refinement to these models, and Expression Language presents an alternative way to compose functions.
• To learn about how DataFlow represents data, see Tokens and Types.
• To learn about how DataFlow conceptually works with files, refer to Input/Output and Formats and Schemas.
• To learn about how YARN on a Hadoop cluster works with DataFlow Cluster Manager, see YARN on Hadoop Cluster.
• To learn about supported file systems, formats, and text types, see Supported Files and Formats and Supported Text Types.
Last modified date: 01/06/2023