Khattak wajid (22 resultados)

Condición: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condición: Very Good. Estado de la sobrecubierta: 45928488. 1791465055. 10/8/2026 1:10:55 PM.

Paperback. Condición: Very Good. Very good paperback copy (NOT ex-library). Spine is uncreased, binding tight and sturdy; text appears unmarked; exterior looks great. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. "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.…

Condición: New. pp. 300.

Condición: New.

Condición: New. In English.

Condición: New. pp. 300.

Condición: New. pp. 300.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 218 pages. 9.25x7.25x0.50 inches. In Stock.

Paperback. This custom edition is published for Queensland University of Technology. It is compiled from the following texts: Accounting Information Systems, Global Edition Big Data Fundamentals: Concepts, Drivers & Techniques . These are USED books. Please only purchase if you are happy with that. Images & Editions We use stock images and database descriptions based on the ISBN. The image shown may NOT be the actual book cover you will receive. Covers, editions, printings, and publishers may differ. If you need a specific cover, edition, or printing, please contact us before purchasing. What "Used" Means Because these books are pre-owned: Colouring books may be coloured in Textbooks may have answers filled in, highlighting, notes, or underlining Workbooks may have writing inside Access codes, download codes, CDs, DVDs, or online content are usually missing or already used Books that originally came with toys, inserts, maps, cards, or bonus items will usually NOT include them Pages may be folded, marked, or show normal signs of use If you are buying a book for anything other than reading (e.g. colouring, study use, collecting, gifts, specific covers, bonus items, or digital access), used books may not be suitable. Condition All books are listed as Used - Good Books are clean and readable but not new Some books may have: Writing, highlighting, or markings Folded pages or minor wear A small warehouse or inventory sticker on the spine Original retailer stickers (we do not remove them) Our Process We purchase books by the pallet and scan thousands at a time. For this reason, we cannot photograph or individually inspect every book. Acknowledgement By purchasing, you acknowledge that: You understand the book is used You accept the condition and limitations described above Stock images and descriptions may not exactly match the item received Thank you for supporting Oak Books and helping give books a second life. …

Condición: New. &Uumlber den AutorThomas Erl is a top-selling IT author, founder of Arcitura Education and series editor of the Prentice Hall Service Technology Series from Thomas Erl. With more than 200,000 copies in print worldwide, his books have be.

Paperback. Condición: New. "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.…

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2017-10-01 Pages: 209 Publisher: mechanical industry publishing house book big data is geared to the needs of business and professional guide. big data clearly introduced relevant concepts. theories. terminology and basic techniques. and use the real coherent business case and simple graphs. help readers more clearly understand the big data technology.This book can be used as a high school. …

Paperback. Condición: Brand New. 218 pages. 9.25x7.25x0.50 inches. In Stock. This item is printed on demand.