The DAG (Directed Acyclic Graph) module provides time-based data processing capabilities, enabling efficient management of temporal data and period-based operations within the Superlinked framework.

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Time Processing Components

Manage temporal data and time-based operations:

Period Time

Period-based time management and temporal data processing

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Key Features

The DAG components enable:
  • Temporal Processing: Handle time-based data operations efficiently
  • Period Management: Define and manage time periods for data aggregation
  • Time-based Queries: Enable temporal filtering and analysis
  • Data Flow: Organize data processing workflows with directed acyclic graphs
DAG components are particularly useful for applications that need to process time-series data, manage data freshness, or implement time-based filtering and aggregation.

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Use Cases

Common applications include:
  • Time Series Analysis: Processing sequential data points over time
  • Data Freshness: Managing data recency and temporal relevance
  • Period Aggregation: Grouping data by time periods for analysis
  • Temporal Filtering: Filtering data based on time constraints