Leveraging Apache Hive External Tables for Efficient XML Data Processing
This document explores the utilization of Apache Hive external tables for efficient XML data processing. XML (eXtensible Markup Language) is a widely used format for data interchange, and processing XML data efficiently poses challenges, especially when dealing with large datasets.
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A comprehensive social media data processing and analytics architecture by using big data platforms: a case study of twitter flood-risk messages. [PDF]
Podhoranyi M.
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Building an Effective Classifier for Phishing Web Pages Detection: A Quantum-Inspired Biomimetic Paradigm Suitable for Big Data Analytics of Cyber Attacks. [PDF]
Darwish SM, Farhan DA, Elzoghabi AA.
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Πλάνα Εκτέλεσης Apache Hive στο Exareme
Η συγκεκριμένη μελέτη έχει ως σκοπό τη βελτίωση του συστήματος επεξεργασίας Ροών Μεγάλων Δεδομένων Exareme παρέχοντας του τη δυνατότητα να χρησιμοποιεί τα Πλάνα Εκτέλεσης Ερωτημάτων (Query Execution Plan) του Apache Hive. Για την εκπλήρωση του παραπάνω σκοπού, αναπτύχθηκε ένα Σύστημα Μετάφρασης Πλάνων Εκτέλεσης του Apache Hive σε Πλάνα Εκτέλεσης του ...
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Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring. [PDF]
Yıldırım E, Cicioğlu M, Çalhan A.
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Interactive querying and data visualization for abuse detection in social network sites [PDF]
De Turck, Filip +4 more
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Analisis Big Data UMKM Menggunakan Apache Hadoop-Hive dengan Metode Forecasting Time Series
UMKM (Usaha Mikro, Kecil, dan Menengah) memainkan peran penting dalam pertumbuhan ekonomi, menciptakan lapangan kerja, dan meningkatkan kesejahteraan masyarakat. Namun, UMKM sering menghadapi tantangan dalam pengelolaan data penjualan dan analisis kinerja, yang mengakibatkan banyaknya usaha yang tutup setiap tahun.
Ida Bagus Alit Swamardika +2 more
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Performance Analysis of Lambda Architecture-Based Big-Data Systems on Air/Ground Surveillance Application with ADS-B Data. [PDF]
Demirezen MU, Navruz TS.
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Dynamic data transformation for low latency querying in big data systems [PDF]
De Turck, Filip +5 more
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Optimizing Batch Processing Techniques of Hive Datasets Using Apache Spark
Enterprise organizations increasingly rely on large-scale data lakes for business intelligence and analytics, making optimization of batch processing performance critical for competitive advantage. Apache Spark, integrated with Hive, represents a widely adopted architecture for querying historical datasets at scale, addressing the performance ...
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