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Practical big data analytics hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of thi...

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Bibliographic Details
Main Author: Dasgupta, Nataraj
Format: eBook
Language:English
Published: Birmingham, UK Packt Publishing 2018
Subjects:
Big Data / Fast
Computers / Computer Science / Bisacsh
Cloud Computing / Fast
Big Data / Http://id.loc.gov/authorities/subjects/sh2012003227
Cloud Computing / Bicssc
Computers / Data Modeling & Design / Bisacsh
Données Volumineuses
Cloud Computing / Http://id.loc.gov/authorities/subjects/sh2008004883
Machine Learning / Fast
Apprentissage Automatique
Computers / Machine Theory / Bisacsh
Information Architecture / Bicssc
Computers / Data Processing / Bisacsh
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Infonuagique
Computers / Hardware / General / Bisacsh
Computers / Reference / Bisacsh
Computers / Computer Literacy / Bisacsh
Database Design & Theory / Bicssc
Data Capture & Analysis / Bicssc
Computers / Information Technology / Bisacsh
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of this book, you will have a clear understanding ..
Physical Description:1 volume illustrations
ISBN:9781783554409
1783554398
1783554401

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