Data Analytics and Big Data

The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.

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  • Author : Soraya Sedkaoui
  • Publisher : John Wiley & Sons
  • Pages : 224 pages
  • ISBN : 1119528054
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Analytics and Big Data

Data Analytics and Big Data

Data Analytics and Big Data
  • Author : Soraya Sedkaoui
  • Publisher : John Wiley & Sons
  • Release : 24 May 2018
GET THIS BOOKData Analytics and Big Data

The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.

Data Science and Big Data Analytics

Data Science and Big Data Analytics
  • Author : EMC Education Services
  • Publisher : John Wiley & Sons
  • Release : 05 January 2015
GET THIS BOOKData Science and Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a

A Closer Look at Big Data Analytics

A Closer Look at Big Data Analytics
  • Author : R. Anandan
  • Publisher : Nova Science Publishers
  • Release : 07 August 2022
GET THIS BOOKA Closer Look at Big Data Analytics

"Big Data Analytics is a field that dissects, efficiently extricates data from, or in any case manages informational indexes that are excessively huge or complex to be managed by customary information preparing application programming. Information with numerous cases (lines) offers more noteworthy factual force, while information with higher multifaceted nature may prompt a higher bogus disclosure rate. Enormous information challenges incorporate catching information, information stockpiling, information investigation, search, sharing, move, representation, and questioning, refreshing, data security and data source. Large

Big Data Analytics

Big Data Analytics
  • Author : David Loshin
  • Publisher : Elsevier
  • Release : 23 August 2013
GET THIS BOOKBig Data Analytics

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. Guides the reader in assessing the opportunities and value proposition Overview of big data hardware and software architectures Presents a variety of

Big Data Analytics

Big Data Analytics
  • Author : Venkat Ankam
  • Publisher : Packt Publishing Ltd
  • Release : 28 September 2016
GET THIS BOOKBig Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as

Big Data and Business Analytics

Big Data and Business Analytics
  • Author : Jay Liebowitz
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKBig Data and Business Analytics

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Big Data Analytics for Large-Scale Multimedia Search

Big Data Analytics for Large-Scale Multimedia Search
  • Author : Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
  • Publisher : John Wiley & Sons
  • Release : 18 March 2019
GET THIS BOOKBig Data Analytics for Large-Scale Multimedia Search

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and

Handbook of Big Data Analytics

Handbook of Big Data Analytics
  • Author : Vadlamani Ravi,Aswani Kumar Cherukuri
  • Publisher : IET
  • Release : 09 July 2021
GET THIS BOOKHandbook of Big Data Analytics

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

Big Data Analytics

Big Data Analytics
  • Author : Arun K. Somani,Ganesh Chandra Deka
  • Publisher : CRC Press
  • Release : 30 October 2017
GET THIS BOOKBig Data Analytics

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Big Data Analytics and Knowledge Discovery

Big Data Analytics and Knowledge Discovery
  • Author : Sanjay Madria,Takahiro Hara
  • Publisher : Springer
  • Release : 09 August 2015
GET THIS BOOKBig Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015. The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data warehouses; stream processing; applications of big data analysis; and big data.

Mathematical Foundations of Big Data Analytics

Mathematical Foundations of Big Data Analytics
  • Author : Vladimir Shikhman,David Müller
  • Publisher : Springer Nature
  • Release : 11 February 2021
GET THIS BOOKMathematical Foundations of Big Data Analytics

In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a

Big Data Analytics

Big Data Analytics
  • Author : Kiran Chaudhary,Mansaf Alam
  • Publisher : CRC Press
  • Release : 19 January 2022
GET THIS BOOKBig Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. The book is divided into five parts. The first

Handbook of Big Data Analytics

Handbook of Big Data Analytics
  • Author : Vadlamani Ravi,Aswani Kumar Cherukuri
  • Publisher : IET
  • Release : 09 July 2021
GET THIS BOOKHandbook of Big Data Analytics

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

Big Data Analytics in Cybersecurity

Big Data Analytics in Cybersecurity
  • Author : Onur Savas,Julia Deng
  • Publisher : CRC Press
  • Release : 18 September 2017
GET THIS BOOKBig Data Analytics in Cybersecurity

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can