Big Data In Small Slices

Big Data In Small Slices Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Big Data In Small Slices book. This book definitely worth reading, it is an incredibly well-written.

Big Data in Small Slices: Data Visualization for Communicators

Dianne M. Finch-Claydon
Big Data in Small Slices Data Visualization for Communicators Book PDF

Author : Dianne M. Finch-Claydon
Publisher : Taylor & Francis
Page : 191 pages
File Size : 45,5 Mb
Release : 2020-12-22
Category : Language Arts & Disciplines
ISBN : 9781317435358

Get Book

Big Data in Small Slices: Data Visualization for Communicators by Dianne M. Finch-Claydon Pdf

This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data gathering and visualization the opportunity to better understand data itself. Using the concept of the "data backstory," each chapter features discussions with experts, from marine scientists to pediatricians and city government officials, who produce datasets in their daily work. The reader is guided through the process of designing effective visualizations based on their data, delving into how datasets are produced and vetted, and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualization and storytelling, from journalism and communications students to public relations professionals. A detailed accompanying website features additional material for readers, including links to all the original datasets used in the text, at www.bigdatainsmallslices.com

Big Data in Small Slices

Dianne M. Finch
Big Data in Small Slices Book PDF

Author : Dianne M. Finch
Publisher : Focal Press
Page : 256 pages
File Size : 42,8 Mb
Release : 2017-06-01
Category : Language Arts & Disciplines
ISBN : 1138910902

Get Book

Big Data in Small Slices by Dianne M. Finch Pdf

This book covers data vetting and visualization in a vernacular designed for the communications professional - replacing the usual geeky jargon and code lists with context and meaningful data sets. Each chapter serves as a case study on a different professional: an economist, a government budget manager, a public health official and an environmental scientist. By shadowing people who create and provide data to the public, readers will learn how data is vetted and why the grunt work of cleaning, filtering and vetting is essential to any visualization. The final chapter provides exercises for self-training or use in classes and the companion website provides data sets discussed in the book.

Big Data For Dummies

Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Big Data For Dummies Book PDF

Author : Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 46,5 Mb
Release : 2013-04-02
Category : Computers
ISBN : 9781118644171

Get Book

Big Data For Dummies by Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman Pdf

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

The Routledge Companion to Marketing Research

Len Tiu Wright,Luiz Moutinho,Merlin Stone,Richard P. Bagozzi
The Routledge Companion to Marketing Research Book PDF

Author : Len Tiu Wright,Luiz Moutinho,Merlin Stone,Richard P. Bagozzi
Publisher : Taylor & Francis
Page : 633 pages
File Size : 49,8 Mb
Release : 2021-06-27
Category : Business & Economics
ISBN : 9781134826797

Get Book

The Routledge Companion to Marketing Research by Len Tiu Wright,Luiz Moutinho,Merlin Stone,Richard P. Bagozzi Pdf

This single-volume reference provides an alternative to traditional marketing research methods handbooks, focusing entirely on the new and innovative methods and technologies that are transforming marketing research and practice. Including original contributions and case studies from leading global specialists, this handbook covers many pioneering methods, such as: Methods for the analysis of user- and customer-generated data, including opinion mining and sentiment analysis Big data Neuroscientific techniques and physiological measures Voice prints Human–computer interaction Emerging approaches such as shadowing, netnographies and ethnographies Transcending the old divisions between qualitative and quantitative research methods, this book is an essential tool for market researchers in academia and practice.

Too Big to Ignore

Phil Simon
Too Big to Ignore Book PDF

Author : Phil Simon
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 48,5 Mb
Release : 2015-11-02
Category : Business & Economics
ISBN : 9781119217848

Get Book

Too Big to Ignore by Phil Simon Pdf

Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Building Big Data and Analytics Solutions in the Cloud

Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks
Building Big Data and Analytics Solutions in the Cloud Book PDF

Author : Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks
Publisher : IBM Redbooks
Page : 101 pages
File Size : 53,6 Mb
Release : 2014-12-08
Category : Computers
ISBN : 9780738453996

Get Book

Building Big Data and Analytics Solutions in the Cloud by Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks Pdf

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.

Networking for Big Data

Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen
Networking for Big Data Book PDF

Author : Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen
Publisher : CRC Press
Page : 416 pages
File Size : 40,7 Mb
Release : 2015-07-28
Category : Computers
ISBN : 9781482263503

Get Book

Networking for Big Data by Shui Yu,Xiaodong Lin,Jelena Misic,Xuemin (Sherman) Shen Pdf

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Paul Zikopoulos,Chris Eaton
Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data Book PDF

Author : Paul Zikopoulos,Chris Eaton
Publisher : McGraw Hill Professional
Page : 176 pages
File Size : 52,6 Mb
Release : 2011-10-22
Category : Computers
ISBN : 9780071790543

Get Book

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos,Chris Eaton Pdf

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

High-Performance Computing of Big Data for Turbulence and Combustion

Sergio Pirozzoli,Tapan K. Sengupta
High Performance Computing of Big Data for Turbulence and Combustion Book PDF

Author : Sergio Pirozzoli,Tapan K. Sengupta
Publisher : Springer
Page : 250 pages
File Size : 49,8 Mb
Release : 2019-05-28
Category : Technology & Engineering
ISBN : 9783030170127

Get Book

High-Performance Computing of Big Data for Turbulence and Combustion by Sergio Pirozzoli,Tapan K. Sengupta Pdf

This book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context, high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raise the bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition (PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource.

The Golden Age of Data

Don Grady
The Golden Age of Data Book PDF

Author : Don Grady
Publisher : Routledge
Page : 241 pages
File Size : 45,7 Mb
Release : 2019-11-27
Category : Language Arts & Disciplines
ISBN : 9781000721720

Get Book

The Golden Age of Data by Don Grady Pdf

Audience and media analytics is more important now than ever, and this latest volume in the cutting-edge BEA Electronic Media Research Series collects some of the top scholars working with big data and analytics today. These chapters describe the development and help define media analytics as an academic discipline and professional practice. Understanding audiences is integral to creating and distributing media messages and the study of media analytics requires knowing a range of skills including research methods, the necessary tools available, familiarity with statistical procedures, and a mindset to provide insights and apply findings. This book summarizes the insights of analytics practitioners regarding the current state of legacy media analysis and social media analytics. Topics covered include the evolution of media technologies, the teaching of media measurement and analytics, the transition taking place in media research, and the use of media analytics to answer meaningful questions, drive content creation, and engage with audiences.

Big Data Analytics Techniques for Market Intelligence

Darwish, Dina
Big Data Analytics Techniques for Market Intelligence Book PDF

Author : Darwish, Dina
Publisher : IGI Global
Page : 536 pages
File Size : 54,6 Mb
Release : 2024-01-04
Category : Computers
ISBN : 9798369304150

Get Book

Big Data Analytics Techniques for Market Intelligence by Darwish, Dina Pdf

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Reinventing Capitalism in the Age of Big Data

Viktor Mayer-Schönberger,Thomas Ramge
Reinventing Capitalism in the Age of Big Data Book PDF

Author : Viktor Mayer-Schönberger,Thomas Ramge
Publisher : Basic Books
Page : 288 pages
File Size : 43,9 Mb
Release : 2018-02-27
Category : Business & Economics
ISBN : 9780465093694

Get Book

Reinventing Capitalism in the Age of Big Data by Viktor Mayer-Schönberger,Thomas Ramge Pdf

From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.

Handbook of IoT and Big Data

Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Handbook of IoT and Big Data Book PDF

Author : Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Publisher : CRC Press
Page : 349 pages
File Size : 54,8 Mb
Release : 2019-02-21
Category : Computers
ISBN : 9780429624933

Get Book

Handbook of IoT and Big Data by Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim Pdf

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data

Big Data

Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
Big Data Book PDF

Author : Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
Publisher : John Wiley & Sons
Page : 370 pages
File Size : 54,8 Mb
Release : 2021-04-13
Category : Mathematics
ISBN : 9781119701828

Get Book

Big Data by Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi Pdf

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

The Power of Data

ZHANG Chao
The Power of Data Book PDF

Author : ZHANG Chao
Publisher : Taylor & Francis
Page : 133 pages
File Size : 51,5 Mb
Release : 2023-08-04
Category : Social Science
ISBN : 9781000922417

Get Book

The Power of Data by ZHANG Chao Pdf

This book is a theoretical work on data journalism production that drills down the models, narratives, and ethics. From idea to concept and then to a widespread innovative trend, data journalism has become a new global paradigm, facilitating the transformation to focus on data, convergence, and intelligence. Drawing on various theoretical resources of communication, narratology, ethics, management, literature and art, game studies, and data science, this book explores the cutting-edge issues in current data journalism production. It critically analyzes crucial topics, including the boundary generalization of data journalism, data science methodology, the illusion of choice in interactive narratives, the word-image relationship in data visualization, and pragmatic objectivity and transparency in production ethics. Provided with a toolbox of classic examples of global data journalism, this book will be of great value to scholars and students of data journalism or new media, data journalists, and journalism professionals interested in the areas.