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- Analytical Framework Description: The Analytical Framework is a structured approach to analyzing data within a data environment, allowing organizations to extract(...) Read more
- Aggregation Layer Description: The aggregation layer is a crucial component in data warehousing architecture, designed to consolidate and transform data from(...) Read more
- Analytical Processing Description: Analytical processing refers to the set of techniques and tools used to analyze large volumes of data in order to extract valuable(...) Read more
- Ad hoc Query Description: An Ad hoc query is an information request created for a specific purpose or task, typically in the context of data analysis. Unlike(...) Read more
- Altering Description: Alteration in the context of ETL (Extract, Transform, Load) and data anonymization refers to the process of modifying existing data(...) Read more
- Archiving Strategy Description: The archiving strategy refers to the systematic plan that defines how log data will be managed and stored over time. This strategy(...) Read more
- Attribute Mapping Description: Attribute mapping is the process of linking data attributes from one source to another, facilitating the integration and(...) Read more
- Apache Avro Description: Apache Avro is a framework for data serialization that provides a compact and fast binary data format. Designed to facilitate(...) Read more
- Apache Flink Description: Apache Flink is a stream processing framework designed for real-time applications that require high performance, scalability, and(...) Read more
- Apache Pulsar Description: Apache Pulsar is a distributed messaging system that follows the publish-subscribe (pub-sub) model, designed to deliver high(...) Read more
- API de Streaming Description: A Streaming API is an interface that allows applications to send and receive data streams in real time. These APIs are fundamental(...) Read more
- Association Rule Learning Description: Association Rule Learning is a rule-based machine learning method used to discover interesting relationships between variables in(...) Read more
- Attribute Selection Description: Feature selection is the process of identifying and selecting a subset of relevant features for use in building predictive models.(...) Read more
- Active Learning Description: Active learning is a machine learning paradigm that allows algorithms to interact with users to obtain labels for unlabeled data.(...) Read more
- Association Description: Association refers to a relationship between two or more variables or events, where a change in one variable may be related to a(...) Read more
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