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.