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Author: Jose Antonio Ribeiro Neto Publisher: Jose Antonio Ribeiro Neto ISBN: Category : Computers Languages : en Pages : 170
Book Description
Hi! Welcome to the book "Big Data for Executives and Market Professionals - Second Edition" Big Data is a technology "Moonshot," those that arise and change people's lives and their professional careers. This eBook is organized to summarize Big Data, Data Science, Analytics and Machine Learning, structuring knowledge, less technical, for a better understanding and rapid learning, demystifying and guiding Executives and Market Professionals on how to use Big Data on their favor, for greater professional success. It is the first stage to become interested in Big Data. Check the learning summary you take on this journey. - Introduction to Big Data and Data Science. Main Technologies applied to Big Data. Cloud technologies, systems, hardware, and software. - Hadoop Ecosystem and its importance to Big Data. The parallel programming paradigm of MapReduce to solve problems in Big Data. Data Lake, Data Warehouse, and ETL processes for Big Data. - Analytics Science and its derivations for Predictive and Big Data. Analytics Tools and their Big Data applications. Machine Learning (ML) and its relationship with Big Data. ML Applications for Big Data. Data Visualization introduction. - Professional careers in Big Data. Companies that created Big Data and adopted the technology. Big Data applications for social networks and the Internet of things. - Privacy and Governance in Big Data. Big Data and Data Science Influencers. How to be a Data Scientist. - Big Data for Executives. Big Data for Market Professionals. Big Data summary and general conclusions. Its implications for business and professional life. What goes on in this Second Edition? In this eBook Second Edition, we looked at the content and revised the texts for readability. The eBook includes more information to refresh the content. The new sections included are: Chapter 3 - Section 2 - Data is Files Chapter 7 - Section 5 - Success Case - Tesla Chapter 8 - Section 2 - GDPR and LGPD Privacy Chapter 10 - Section 6 - Edge Computing Chapter 10 - Section 7 - Digital Transformation Chapter 11 - Section 10 - The Spark Importance Chapter 16 - Section 7 - Big Data + Data Science + ML Chapter 18 - Section 4 - Analytics Translator Chapter 18 - Section 5 - Is it worth going for a new career?
Author: Jose Antonio Ribeiro Neto Publisher: Jose Antonio Ribeiro Neto ISBN: Category : Computers Languages : en Pages : 170
Book Description
Hi! Welcome to the book "Big Data for Executives and Market Professionals - Second Edition" Big Data is a technology "Moonshot," those that arise and change people's lives and their professional careers. This eBook is organized to summarize Big Data, Data Science, Analytics and Machine Learning, structuring knowledge, less technical, for a better understanding and rapid learning, demystifying and guiding Executives and Market Professionals on how to use Big Data on their favor, for greater professional success. It is the first stage to become interested in Big Data. Check the learning summary you take on this journey. - Introduction to Big Data and Data Science. Main Technologies applied to Big Data. Cloud technologies, systems, hardware, and software. - Hadoop Ecosystem and its importance to Big Data. The parallel programming paradigm of MapReduce to solve problems in Big Data. Data Lake, Data Warehouse, and ETL processes for Big Data. - Analytics Science and its derivations for Predictive and Big Data. Analytics Tools and their Big Data applications. Machine Learning (ML) and its relationship with Big Data. ML Applications for Big Data. Data Visualization introduction. - Professional careers in Big Data. Companies that created Big Data and adopted the technology. Big Data applications for social networks and the Internet of things. - Privacy and Governance in Big Data. Big Data and Data Science Influencers. How to be a Data Scientist. - Big Data for Executives. Big Data for Market Professionals. Big Data summary and general conclusions. Its implications for business and professional life. What goes on in this Second Edition? In this eBook Second Edition, we looked at the content and revised the texts for readability. The eBook includes more information to refresh the content. The new sections included are: Chapter 3 - Section 2 - Data is Files Chapter 7 - Section 5 - Success Case - Tesla Chapter 8 - Section 2 - GDPR and LGPD Privacy Chapter 10 - Section 6 - Edge Computing Chapter 10 - Section 7 - Digital Transformation Chapter 11 - Section 10 - The Spark Importance Chapter 16 - Section 7 - Big Data + Data Science + ML Chapter 18 - Section 4 - Analytics Translator Chapter 18 - Section 5 - Is it worth going for a new career?
Author: Jose Antonio Ribeiro Neto Publisher: ISBN: Category : Languages : en Pages : 260
Book Description
Welcome to the book "SUMMARY: Big Data for Executives and Market Professionals".It represents a content reorganization of the Second and Third Editions, providing a lighter reading, considering that: - I resized the texts in a less technical language possible.- I removed CURIOSITIES sections, not useful anymore for the new summaries.- Summaries sections are new, implemented to review the contents.- More technical chapters are available as an Appendix for optional reading.The added value of this book SUMMARY is in saving time and learning of the contents with quick revisions.As a bedside book, you can read the Summary Sections, reviewing concepts, for a broad view of the technology.The book aims to summarize knowledge of Big Data. Concepts, technologies, applications, case studies. Data analysis, Insights, Machine Learning and practical actions to business results. Impact on society. Data careers.We structured knowledge in an informative, less technical way for quick learning.Designed for executives and professionals who want information about this new area that is revolutionizing business, its products and services, changing markets and existing careers.Businesses and professions become every day more "data-driven" (oriented data). It will require a new culture of data of professionals, which should incorporate the data analysis as one of their professional skills. These are alerts for Executives and Professionals interested in understanding this new area.That reading this summary can pique the interest of big data and serve as a guide for your personal and professional growth.This eBook is the first step for you to get to know and to become interested in Big Data. Evaluate the learning summary you take on this journey.- Introduction to Big Data and Data Science. Main Technologies applied to Big Data. Cloud technologies, systems, hardware, and software.- Hadoop Ecosystem and its importance to Big Data. The parallel programming paradigm of MapReduce to solve problems in Big Data. Data Lake, Data Warehouse, and the ETL processes for Big Data.- Analytics Science and its derivations for Predictive and Big Data. The Analytics Tools and their Big Data applications. Machine Learning (ML) and its relationship with Big Data. ML Applications for Big Data. Data Visualization introduction.- Professional careers in Big Data. Companies that created Big Data and adopted the technology. Big Data applications for social networks and the Internet of things.- Privacy and Governance in Big Data. Big Data and Data Science Influencers. How to become a Data Scientist.- Big Data for Executives. Big Data for Market Professionals. Summary and general conclusions about the Big Data era. Its implications for business and professional life.
Author: Kim H. Pries Publisher: CRC Press ISBN: 1482234521 Category : Computers Languages : en Pages : 576
Book Description
With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif
Author: Jay Liebowitz Publisher: CRC Press ISBN: 1466565799 Category : Business & Economics Languages : en Pages : 304
Book Description
"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
Author: Bill Schmarzo Publisher: John Wiley & Sons ISBN: 1118740009 Category : Business & Economics Languages : en Pages : 245
Book Description
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Author: Kim H. Pries Publisher: Auerbach Publications ISBN: 9781482234510 Category : Computers Languages : en Pages : 0
Book Description
With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package. The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses. Describes the benefits of distributed computing in simple terms Includes substantial vendor/tool material, especially for open source decisions Covers prominent software packages, including Hadoop and Oracle Endeca Examines GIS and machine learning applications Considers privacy and surveillance issues The book further explores basic statistical concepts that, when misapplied, can be the source of errors. Time and again, big data is treated as an oracle that discovers results nobody would have imagined. While big data can serve this valuable function, all too often these results are incorrect, yet are still reported unquestioningly. The probability of having erroneous results increases as a larger number of variables are compared unless preventative measures are taken. The approach taken by the authors is to explain these concepts so managers can ask better questions of their analysts and vendors as to the appropriateness of the methods used to arrive at a conclusion. Because the world of science and medicine has been grappling with similar issues in the publication of studies, the authors draw on their efforts and apply them to big data.
Author: Michael Minelli Publisher: John Wiley & Sons ISBN: 111814760X Category : Business & Economics Languages : en Pages : 230
Book Description
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Author: Thomas Davenport Publisher: Harvard Business Review Press ISBN: 1422168174 Category : Business & Economics Languages : en Pages : 241
Book Description
Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
Author: Peter C. Verhoef Publisher: Routledge ISBN: 1000465462 Category : Business & Economics Languages : en Pages : 337
Book Description
The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners
Author: Jose Antonio Ribeiro Neto
Author: Jose Antonio Ribeiro Neto
Author: Jose Antonio Ribeiro Neto
Author: Kim H. Pries
Author: Jay Liebowitz
Author: Bill Schmarzo
Author: Kim H. Pries
Author: Michael Minelli
Author: Thomas Davenport
Author: Peter C. Verhoef
Author: Peter Aiken