Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Big Data Analytics with R
Leverage R Programming to uncover hidden patterns in your Big Data
Taschenbuch von Simon Walkowiak
Sprache: Englisch

73,55 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Kategorien:
Beschreibung
Utilize R to uncover hidden patterns in your Big Data
Key Features

Perform computational analyses on Big Data to generate meaningful results

Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,

Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market

Book Description

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.

The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.

What you will learn

Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities

Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner

Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage

Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform

Who this book is for

This book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.

It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.
Utilize R to uncover hidden patterns in your Big Data
Key Features

Perform computational analyses on Big Data to generate meaningful results

Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,

Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market

Book Description

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.

The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.

What you will learn

Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities

Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner

Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage

Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform

Who this book is for

This book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.

It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.
Über den Autor
In Discussion regarding updating his book.

Simon Walkowiak is a former data scientist at the UK Data
Archive (University of Essex) and currently is the Managing Director of Mind
Project Ltd and a Data Scientist Meetup organizer based in London.
Details
Erscheinungsjahr: 2016
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781786466457
ISBN-10: 1786466457
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Walkowiak, Simon
Hersteller: Packt Publishing
Maße: 235 x 191 x 28 mm
Von/Mit: Simon Walkowiak
Erscheinungsdatum: 29.07.2016
Gewicht: 0,935 kg
Artikel-ID: 103529264
Über den Autor
In Discussion regarding updating his book.

Simon Walkowiak is a former data scientist at the UK Data
Archive (University of Essex) and currently is the Managing Director of Mind
Project Ltd and a Data Scientist Meetup organizer based in London.
Details
Erscheinungsjahr: 2016
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781786466457
ISBN-10: 1786466457
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Walkowiak, Simon
Hersteller: Packt Publishing
Maße: 235 x 191 x 28 mm
Von/Mit: Simon Walkowiak
Erscheinungsdatum: 29.07.2016
Gewicht: 0,935 kg
Artikel-ID: 103529264
Warnhinweis

Ähnliche Produkte

Ähnliche Produkte