Big Data Analytics Introduction to Hadoop, Spark, and Machine-Learning

Raj Kamal, Preeti Saxena

Informasi Dasar

20.21.1815
006.312
Buku - Elektronik (E-Book)

Big Data Analytics (BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations, sample codes, case studies and real-life analytics of datasets such as toys, chocolates, cars, and student’s GPAs. The book will serve the interests of undergraduate and post graduate students of computer science and engineering, information technology, and related disciplines. It will also be useful to software developers.

Salient Features:

• Comprehensive coverage on Big Data NoSQL Column-family, Object and Graph databases, programming with open-source Big Data Hadoop and Spark ecosystem tools, such as MapReduce, Hive, Pig, Spark, Python, Mahout, Streaming, GraphX

• Inclusion of latest topics machine learning, K-NN, predictive-analytics, similar and frequent item sets, clustering, decision-tree, classifiers recommenders, real-time streaming data analytics, graph networks, text, web structure, web-links, social network analytics.

• Follows a hierarchical and teach-by- example approach from elementary to advanced level.

Subjek

DATA ANALYSIS
 

Katalog

Big Data Analytics Introduction to Hadoop, Spark, and Machine-Learning
978-93-5316-496-6
763p.: pdf file.; 30 MB
English

Sirkulasi

Rp. 0
Rp. 1.000
Tidak

Pengarang

Raj Kamal, Preeti Saxena
Perorangan
 
 

Penerbit

McGraw Hill Education
New Delhi
2019

Koleksi

Kompetensi

  • UWI1B2 - LITERASI DATA
  • UWI1B2 - LITERASI DATA

Download / Flippingbook

 

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