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Big Data Simplified /

"Big Data Simplified blends technology with strategy and delves into applications of big data in specialized areas, such as recommendation engines, data science and Internet of Things (IoT) and enables a practitioner to make the right technology choice. The steps to strategize a big data implem...

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Detalles Bibliográficos
Autores principales: Goswami, Sayan (Autor), Dāśa, Amita (Autor), Mukherjee, Sourabh (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Pearson Education India, 2019.
Edición:1st edition.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

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520 |a "Big Data Simplified blends technology with strategy and delves into applications of big data in specialized areas, such as recommendation engines, data science and Internet of Things (IoT) and enables a practitioner to make the right technology choice. The steps to strategize a big data implementation are also discussed in detail. This book presents a holistic approach to the topic, covering a wide landscape of big data technologies like Hadoop 2.0 and package implementations, such as Cloudera. In-depth discussion of associated technologies, such as MapReduce, Hive, Pig, Oozie, ApacheZookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, GraphDB, etc., is also included 
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550 |a Made available through: Safari, an O'Reilly Media Company. 
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700 1 |a Mukherjee, Sourabh,  |e author. 
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