Big data (Mehr als 43.000 Ergebnisse)

Sprache: Englisch
Verlag: Pearson Education (US), 2016
Serie: Buch 11 von 14 - The Pearson Service Technology Series from Thomas Erl
- Softcover
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Paperback. Zustand: Good. ?This text should be required reading for everyone in contemporary business.? --Peter Woodhull, CEO, Modus21 ?The one book that clearly describes and links Big Data concepts to business utility.? --Dr. Christopher Starr, PhD ?Simply, this is the best Big Data book on the market!? --Sam Rostam, Cascadian IT Group .one of the most contemporary approaches I?ve seen to Big Data fundamentals.? --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data?s fundamental concepts and what makes it different from previous forms of data analysis and data scienceUnderstanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovationPlanning strategic, business-driven Big Data initiativesAddressing considerations such as data management, governance, and securityRecognizing the 5 ?V? characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and valueClarifying Big Data?s relationships with OLTP, OLAP, ETL, data warehouses, and data martsWorking with Big Data in structured, unstructured, semi-structured, and metadata formatsIncreasing value by integrating Big Data resources with corporate performance monitoringUnderstanding how Big Data leverages distributed and parallel processingUsing NoSQL and other technologies to meet Big Data?s distinct data processing requirementsLeveraging statistical approaches of quantitative and qualitative analysisApplying computational analysis methods, including machine learning.…

Sprache: Englisch
Verlag: Pearson Education (US), 2016
Serie: Buch 11 von 14 - The Pearson Service Technology Series from Thomas Erl
- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Gut
EUR 3,23
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Paperback. Zustand: Very Good. ?This text should be required reading for everyone in contemporary business.? --Peter Woodhull, CEO, Modus21 ?The one book that clearly describes and links Big Data concepts to business utility.? --Dr. Christopher Starr, PhD ?Simply, this is the best Big Data book on the market!? --Sam Rostam, Cascadian IT Group .one of the most contemporary approaches I?ve seen to Big Data fundamentals.? --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data?s fundamental concepts and what makes it different from previous forms of data analysis and data scienceUnderstanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovationPlanning strategic, business-driven Big Data initiativesAddressing considerations such as data management, governance, and securityRecognizing the 5 ?V? characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and valueClarifying Big Data?s relationships with OLTP, OLAP, ETL, data warehouses, and data martsWorking with Big Data in structured, unstructured, semi-structured, and metadata formatsIncreasing value by integrating Big Data resources with corporate performance monitoringUnderstanding how Big Data leverages distributed and parallel processingUsing NoSQL and other technologies to meet Big Data?s distinct data processing requirementsLeveraging statistical approaches of quantitative and qualitative analysisApplying computational analysis methods, including machine learning.…

- Softcover
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Paperback. Zustand: Very Good. Learn how to profit from an effective data strategy in a world of big data, analytics and the Internet of Things.

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Paperback. Zustand: Good. Learn how to profit from an effective data strategy in a world of big data, analytics and the Internet of Things.

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Paperback. Zustand: Good. 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.

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Paperback. Zustand: Good. Offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography's major subdisciplines. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields.…

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Hardback. Zustand: Good. A FINANCIAL TIMES BOOK OF THE MONTH FROM THE WALL STREET JOURNAL: "Nothing Mr. Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel. Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade." ?Google?s algorithms assume the world?s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it?s wrong: the future depends on human action.? ? Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it?s coming to an end. In Life after Google, George Gilder?the peerless visionary of technology and culture?explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google?s astonishing ability to ?search and sort? attracts the entire world to its search engine and countless other goodies?videos, maps, email, calendars.And everything it offers is free, or so it seems. Instead of paying directly, users submit to advertising. The system of ?aggregate and advertise? works?for a while?if you control an empire of data centers, but a market without prices strangles entrepreneurship and turns the Internet into a wasteland of ads. The crisis is not just economic. Even as advances in artificial intelligence induce delusions of omnipotence and transcendence, Silicon Valley has pretty much given up on security. The Internet firewalls supposedly protecting all those passwords and personal information have proved hopelessly permeable. The crisis cannot be solved within the current computer and network architecture. The future lies with the ?cryptocosm??the new architecture of the blockchain and its derivatives. Enabling cryptocurrencies such as bitcoin and ether, NEO and Hashgraph, it will provide the Internet a secure global payments system, ending the aggregate-and-advertise Age of Google. Silicon Valley, long dominated by a few giants, faces a ?great unbundling,? which will disperse computer power and commerce and transform the economy and the Internet. Life after Google is almost here. For fans of "Wealth and Poverty," "Knowledge and Power," and "The Scandal of Money.".…

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Paperback. Zustand: Good. Offers a new approach to managing data Comprehensive coverage on building Big Data systems Works an example Big Data system to illustrate key concepts.

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Zustand: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Hadoop Application Architectures: Designing Real-World Big Data Applications
Grover, Rajat (Mark); Malaska, Ted; Seidman, Jonathan; Shapira, Gwen
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