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Author : Daniel D. Benice
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 632 pages
Book Rating : 4.3/5 (91 download)
Download or read book Modern Business Data Processing written by Daniel D. Benice and published by Prentice Hall. This book was released on 1973 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mike Fleckenstein
Publisher : Springer
ISBN 13 : 3319689932
Total Pages : 269 pages
Book Rating : 4.3/5 (196 download)
Download or read book Modern Data Strategy written by Mike Fleckenstein and published by Springer. This book was released on 2018-02-12 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
Author : Robert M.X. Wu
Publisher : BoD – Books on Demand
ISBN 13 : 1789846846
Total Pages : 172 pages
Book Rating : 4.7/5 (898 download)
Download or read book E-Business written by Robert M.X. Wu and published by BoD – Books on Demand. This book was released on 2021-05-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.
Author : Robert R. Arnold
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.3/5 (91 download)
Download or read book Modern Data Processing written by Robert R. Arnold and published by John Wiley & Sons. This book was released on 1972 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of data processing; History of data processing; Data processing applications; Systems study and design: tools and techniques; Systems study and design: principles; Manual and mechanical data processing; Punched card unit records and recording devices; Punched card machine functions; Data collection and organization.
Author : Beryl Robichaud
Publisher : New York : Gregg Division, McGraw-Hill
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.:/5 (319 download)
Download or read book Understanding Modern Business Data Processing written by Beryl Robichaud and published by New York : Gregg Division, McGraw-Hill. This book was released on 1966 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Management development textbook on business use of EDP, with particular reference to the USA - comprises 3 sections on (1) concepts and equipment (incl. The historical background of computers), (2) systems design and methodology and (3) the place of e.d.p. In business organization, employment opportunities for EDP personnel and some e.d.p. Job descriptions. Dictionary of relevant terms.
Author : Dominik Jung
Publisher : Springer Nature
ISBN 13 : 3031599071
Total Pages : 312 pages
Book Rating : 4.0/5 (315 download)
Download or read book The Modern Business Data Analyst written by Dominik Jung and published by Springer Nature. This book was released on 2024 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics. The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work. The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world.
Author : Bernard A. Hodson
Publisher : Toronto: Macmillan of Canada
ISBN 13 : 9780770508654
Total Pages : 336 pages
Book Rating : 4.5/5 (86 download)
Download or read book Modern Data Processing for Management written by Bernard A. Hodson and published by Toronto: Macmillan of Canada. This book was released on 1973 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stuart S. Fink
Publisher : by Mocktime Publication
ISBN 13 :
Total Pages : 67 pages
Book Rating : 4./5 ( download)
Download or read book Business Data Processing written by Stuart S. Fink and published by by Mocktime Publication. This book was released on 1974 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : V Naresh Kumar
Publisher : Packt Publishing Ltd
ISBN 13 : 1787128814
Total Pages : 390 pages
Book Rating : 4.7/5 (871 download)
Download or read book Modern Big Data Processing with Hadoop written by V Naresh Kumar and published by Packt Publishing Ltd. This book was released on 2018-03-30 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop Key Features -Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform -Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more -A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect Book Description The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems. What you will learn Build an efficient enterprise Big Data strategy centered around Apache Hadoop Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari Design effective streaming data pipelines and build your own enterprise search solutions Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset Plan, set up and administer your Hadoop cluster efficiently Who this book is for This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.
Author : Nick Jewell, PhD
Publisher : TinyTechMedia LLC
ISBN 13 :
Total Pages : 129 pages
Book Rating : 4.9/5 (858 download)
Download or read book Mastering the Modern Data Stack written by Nick Jewell, PhD and published by TinyTechMedia LLC. This book was released on 2023-09-28 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of digital transformation, becoming overwhelmed by the sheer volume of potential data management, analytics, and AI solutions is common. Then it's all too easy to become distracted by glossy vendor marketing, and then chase the latest shiny tool, rather than focusing on building resilient, valuable platforms that will outperform the competition. This book aims to fix a glaring gap for data professionals: a comprehensive guide to the full Modern Data Stack that's rooted in real-world capabilities, not vendor hype. It is full of hard-earned advice on how to get maximum value from your investments through tangible insights, actionable strategies, and proven best practices. It comprehensively explains how the Modern Data Stack is truly utilized by today's data-driven companies. Mastering the Modern Data Stack: An Executive Guide to Unified Business Analytics is crafted for a diverse audience. It's for business and technology leaders who understand the importance and potential value of data, analytics, and AI—but don’t quite see how it all fits together in the big picture. It's for enterprise architects and technology professionals looking for a primer on the data analytics domain, including definitions of essential components and their usage patterns. It's also for individuals early in their data analytics careers who wish to have a practical and jargon-free understanding of how all the gears and pulleys move behind the scenes in a Modern Data Stack to turn data into actual business value. Whether you're starting your data journey with modest resources, or implementing digital transformation in the cloud, you'll find that this isn't just another textbook on data tools or a mere overview of outdated systems. It's a powerful guide to efficient, modern data management and analytics, with a firm focus on emerging technologies such as data science, machine learning, and AI. If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide™ is for you. Remember, it’s not the tech that’s tiny, just the book!™
Author : Beryl Robichaud
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.:/5 (585 download)
Download or read book Problems and Exercises for Understanding Modern Business Data Processing written by Beryl Robichaud and published by . This book was released on 1967 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 506 pages
Book Rating : 4.4/5 (493 download)
Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.6/5 (223 download)
Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
Author : Alan Simon
Publisher : Morgan Kaufmann
ISBN 13 : 0128017457
Total Pages : 99 pages
Book Rating : 4.1/5 (28 download)
Download or read book Modern Enterprise Business Intelligence and Data Management written by Alan Simon and published by Morgan Kaufmann. This book was released on 2014-08-28 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the "Big Data Era"...and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing "silos of data" problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enterprise-wide "single version of the truth" – or all of the above – IT Directors, strategists, and architects find that they need to go back to the drawing board and produce a brand new BI/data warehousing roadmap to help move their enterprises from their current state to one where the promises of emerging technologies and a generation’s worth of best practices can finally deliver high-impact, architecturally evolvable enterprise-scale business intelligence and data warehousing. Author Alan Simon, whose BI and data warehousing experience dates back to the late 1970s and who has personally delivered or led more than thirty enterprise-wide BI/data warehousing roadmap engagements since the mid-1990s, details a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale. Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. Takes a fresh look at true enterprise-scale BI/DW in the "Dawn of the Big Data Era" Details a checklist-based approach to surveying one’s current state and identifying which components are enterprise-ready and which ones are impeding the key objectives of enterprise-scale BI/DW Provides an approach for how to analyze and test-bed emerging technologies and architectures and then figure out how to include the relevant ones in the roadmaps that will be developed Presents a tried-and-true methodology for building a phased, incremental, and iterative enterprise BI/DW roadmap that is closely aligned with an organization’s business imperatives, organizational culture, and other considerations
Author : John A. Postley
Publisher :
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computers and People written by John A. Postley and published by . This book was released on 1960 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Celina M. Olszak
Publisher : CRC Press
ISBN 13 : 1000218309
Total Pages : 156 pages
Book Rating : 4.0/5 (2 download)
Download or read book Business Intelligence and Big Data written by Celina M. Olszak and published by CRC Press. This book was released on 2020-11-17 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
Author : Andriy Semenov
Publisher : Springer Nature
ISBN 13 : 3031540123
Total Pages : 411 pages
Book Rating : 4.0/5 (315 download)
Download or read book Data-Centric Business and Applications written by Andriy Semenov and published by Springer Nature. This book was released on with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt:
