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Apache Spark, Hive, and HBase are three important technologies in the field of Data Science and Big Data, each designed to handle large-scale data but serving different purposes depending on the nature of the task. Apache Spark is a unified analytics engine for large-scale data processing, known for its speed, in-memory computation, and ability to support both batch and real-time data processing. Hive is a data warehouse infrastructure built on top of Hadoop that provides SQL-like query capabilities, mainly used for batch processing and structured data analysis. HBase, on the other hand, is a NoSQL database modeled after Google’s Bigtable, designed to handle sparse, unstructured, or semi-structured data and provide low-latency read and write operations. In terms of functionality, Spark provides a distributed computing framework with APIs for data manipulation, machine learning, graph processing, and stream __________ ______ _________ _________ ______ __________ __________ _________ _______ ______.
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