Isbn: 9780134291079 - big data fundamentals: concepts, drivers & techniques (the pearson service technology series from thomas erl) (10 Ergebnisse)

Paperback. Zustand: 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.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 300.

Zustand: New. In English.

Zustand: New. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

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

Zustand: 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.

Taschenbuch. Zustand: Neu. Neuware - 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, PhDThe 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.…

Taschenbuch. Zustand: Neu. Big Data Fundamentals: Concepts, Drivers & Techniques | Thomas Erl (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2025 | Pearson | EAN 9780134291079 | Verantwortliche Person für die EU: Pearson Education, St.-Martin-Str. 82, 81541 München, info[at]pearson[dot]de | Anbieter: preigu. …