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- Subcluster Description: A subcluster in the context of distributed computing refers to a smaller group of nodes within a larger cluster, designed to(...) Read more
- Slicing Description: Slicing is the process of obtaining a subset of a sequence, such as lists, tuples, or arrays in Python. This concept is fundamental(...) Read more
- Streaming Framework Description: The streaming framework in Hadoop is a structure designed to facilitate real-time data processing, allowing organizations to(...) Read more
- Storage Layer Description: The Storage Layer in Hadoop is a fundamental component responsible for managing and storing large volumes of data. This layer is(...) Read more
- Spark Streaming Description: Spark Streaming is a component of Apache Spark that enables scalable real-time data stream processing with high processing capacity(...) Read more
- Spark SQL Description: Spark SQL is a module within the Apache Spark ecosystem designed for structured data processing. This component allows users to(...) Read more
- Structured Streaming Description: Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. It allows developers(...) Read more
- SparkContext Description: SparkContext is the fundamental entry point for utilizing the functionality of Apache Spark, a cluster data processing framework.(...) Read more
- StreamingContext Description: The 'StreamingContext' is the main entry point for Spark Streaming functionality, an extension of Apache Spark that enables(...) Read more
- SparkSession Description: SparkSession is a fundamental entry point for programming in Apache Spark using the Dataset and DataFrame API. Introduced in Spark(...) Read more
- SparkR Description: SparkR is an R package that provides an interface to use Apache Spark from the R programming environment. This package allows R(...) Read more
- SaveMode Description: SaveMode in Apache Spark is an enumeration that defines how data should be saved to a data source. This feature is fundamental for(...) Read more
- Spark MLlib Description: Spark MLlib is a scalable machine learning library that is part of the Apache Spark ecosystem. Its main goal is to facilitate the(...) Read more
- Streaming DataFrame Description: A Streaming DataFrame is a data structure that represents a continuous stream of data, enabling real-time processing. This tool is(...) Read more
- Schema Inference Description: Schema inference is the process by which data processing frameworks automatically determine the schema of a dataset based on the(...) Read more
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