Data Analysis: Converting Unstructured Data into Structured Data - Niraula, Neeta
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Data extraction and analysis have recently received significant attention due to the evolution of social media and large volume of data available in an unstructured form. Hadoop and Map-Reduce have been continuously implementing and analyzing large amount of data. In this book Apache Pig, which is one of the high-level platform for analyzing large volume of data and runs on the top of Hadoop is used to analyze unstructured log files and extract information. In this book, weblog server files are used to analyze and extract meaningful information in an unstructured form to a structured form in…mehr

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Produktbeschreibung
Data extraction and analysis have recently received significant attention due to the evolution of social media and large volume of data available in an unstructured form. Hadoop and Map-Reduce have been continuously implementing and analyzing large amount of data. In this book Apache Pig, which is one of the high-level platform for analyzing large volume of data and runs on the top of Hadoop is used to analyze unstructured log files and extract information. In this book, weblog server files are used to analyze and extract meaningful information in an unstructured form to a structured form in Apache Pig framework. We will measure the efficiency and performance when a large volume of data is processed on Map-Reduce mode and local mode.
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Autorenporträt
Neeta NiraulaM.S.Computer Science (Saint Cloud State University (SCSU), St. Cloud, Minnesota)