Data 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 structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available from the book’s page at Wiley which you can find on the Wiley site by searching for the ISBN 9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Produk Detail:

  • Author : EMC Education Services
  • Publisher : John Wiley & Sons
  • Pages : 432 pages
  • ISBN : 1118876059
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Science and Big Data Analytics

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

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

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

Big Data Analytics
  • Author : Mrutyunjaya Panda,Ajith Abraham,Aboul Ella Hassanien
  • Publisher : CRC Press
  • Release : 12 December 2018
GET THIS BOOKBig Data Analytics

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects ofbig data analytics. It covers theory, practices and challenges in social networking. The book spans

Big Data Analytics Methods

Big Data Analytics Methods
  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 16 December 2019
GET THIS BOOKBig Data Analytics Methods

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data,

Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
  • Author : Wang, Baoying
  • Publisher : IGI Global
  • Release : 31 October 2014
GET THIS BOOKBig Data Analytics in Bioinformatics and Healthcare

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of

High-Performance Big-Data Analytics

High-Performance Big-Data Analytics
  • Author : Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala
  • Publisher : Springer
  • Release : 16 October 2015
GET THIS BOOKHigh-Performance Big-Data Analytics

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics

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 : V. B. Aggarwal,Vasudha Bhatnagar,Durgesh Kumar Mishra
  • Publisher : Springer
  • Release : 03 October 2017
GET THIS BOOKBig Data Analytics

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.

Big Data Analytics

Big Data Analytics
  • Author : Anirban Mondal,Himanshu Gupta,Jaideep Srivastava,P. Krishna Reddy,D.V.L.N. Somayajulu
  • Publisher : Springer
  • Release : 11 December 2018
GET THIS BOOKBig Data Analytics

This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.

Big Data Analytics with Vehicle Data

Big Data Analytics with Vehicle Data
  • Author : Ashok Singamaneni
  • Publisher : Unknown Publisher
  • Release : 17 May 2021
GET THIS BOOKBig Data Analytics with Vehicle Data

Many companies have invested a lot over the past decade just to collect the data and store them in a cloud. However collection of such large amount of data will be justified only when there are some useful insights drawn from them. There is a lot of data collected from vehicles. The volume, velocity, variability and complexity of the data from various sensors are massive. Access to this type of data is only going to increase with time, so industries

Creating Value with Big Data Analytics

Creating Value with Big Data Analytics
  • Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk
  • Publisher : Routledge
  • Release : 08 January 2016
GET THIS BOOKCreating Value with Big Data Analytics

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing

BIG DATA ANALYTICS

BIG DATA ANALYTICS
  • Author : Raj Kamal,Preeti Saxena
  • Publisher : McGraw-Hill Education
  • Release : 16 February 2019
GET THIS BOOKBIG DATA ANALYTICS

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,

Big Data Analytics and Computing for Digital Forensic Investigations

Big Data Analytics and Computing for Digital Forensic Investigations
  • Author : Suneeta Satpathy,Sachi Nandan Mohanty
  • Publisher : CRC Press
  • Release : 07 April 2020
GET THIS BOOKBig Data Analytics and Computing for Digital Forensic Investigations

Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the