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Big Data Simplifid

By: By: Publication details: Nodia: Pearson India Education Secrvices, 2019Description: 329ISBN:
  • 9789353435110
Subject(s): DDC classification:
  • 005.74 MUK
Summary: 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, Ooze, Apache Zookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, Graph DB, etc., is also included.
List(s) this item appears in: New Arrivals for the Month of December - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 005.74 MUK (Browse shelf(Opens below)) Available E13848
Book Book Alliance College of Engineering and Design CSE & IT 005.74 MUK (Browse shelf(Opens below)) Available E13851
Book Book Alliance College of Engineering and Design CSE & IT 005.74 MUK (Browse shelf(Opens below)) Available E13850
Reference Book Reference Book Alliance College of Engineering and Design CSE & IT 005.74 MUK (Browse shelf(Opens below)) Not for loan E13847
Book Book Alliance College of Engineering and Design CSE & IT 005.74 MUK (Browse shelf(Opens below)) Available E13849
Total holds: 0

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, Ooze, Apache Zookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, Graph DB, etc., is also included.

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