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CSIE59830/CSIEM0410 Big Data SystemsLecture 03 Inmemory Computation & SparkGeneral Purpose Computing Systems II: Inmemory Computation & Spark Shiowyang Wu () CSIE, NDHU, Taiwan, ROC Lecture material
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Spark is an open-source distributed computing system designed for big data processing and analytics, providing high-level APIs in Java, Scala, Python, and R for data processing.
Entities that engage in big data activities or use Spark for processing large datasets may be required to file a report, including companies, organizations, and research institutions.
To fill out a Spark a Big Data report, users need to provide accurate data about their data processing activities, including the types of data handled, tools used, and any applicable metrics.
The purpose of Spark a Big Data is to ensure compliance and transparency in big data practices, allowing relevant authorities to monitor and assess big data usage.
Required information typically includes the volume of data processed, nature of data operations, compliance with data privacy regulations, and any relevant performance metrics.
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