Artboard 33 Artboard 16 Artboard 18 Artboard 15 Artboard 21 Artboard 1 Artboard 2 Artboard 5 Artboard 45 Artboard 45 Artboard 22 Artboard 9 Artboard 23 Artboard 17? Artboard 28 Artboard 43 Artboard 49 Artboard 47 Artboard 38 Artboard 32 Artboard 8 Artboard 22 Artboard 5 Artboard 25 Artboard 1 Artboard 42 Artboard 11 Artboard 41 Artboard 13 Artboard 23 Artboard 10 Artboard 4 Artboard 9 Artboard 20 Artboard 6 Artboard 11 Artboard 7 Artboard 3 Artboard 3 Artboard 12 Artboard 25 Artboard 34 Artboard 39 Artboard 24 Artboard 13 Artboard 19 Artboard 7 Artboard 24 Artboard 31 Artboard 4 Artboard 14 Artboard 27 Artboard 30 Artboard 36 Artboard 44 Artboard 12 Artboard 17 Artboard 17 Artboard 6 Artboard 27 Artboard 19 Artboard 30 Artboard 29 Artboard 29 Artboard 26 Artboard 18 Artboard 2 Artboard 20 Artboard 35 Artboard 15 Artboard 14 Artboard 48 Artboard 50 Artboard 26 Artboard 16 Artboard 40 Artboard 21 Artboard 29 Artboard 10 Artboard 37 Artboard 3 Artboard 3 Artboard 46 Artboard 8
e-book

Big Data Fundamentals - Concepts, Drivers& Techniques (Cód: 9517415)

Erl,Thomas; Wajid Khattak; Paul Buhler

PEARSON TECHNOLOGY GROUP

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 102,83

em até 3x de R$ 34,28 sem juros

Total: R$0,00

Em até 1x sem juros de R$ 0,00


Origem

R$ 49,90

Crédito:
Boleto:
Cartão Saraiva:

Total: R$0,00

Em até 3x sem juros de R$ 0,00


Big Data Fundamentals - Concepts, Drivers& Techniques

R$102,83

Descrição

“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 science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

Características

Peso 0.00 Kg
Produto sob encomenda Sim
Marca PEARSON TECHNOLOGY GROUP
Número de Páginas 240 (aproximado)
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Epub
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 15364
Início da Venda 29/12/2015
Código do Formato Epub
Cód. Barras 9780134291208
Ano da Publicação 2015
AutorErl,Thomas; Wajid Khattak; Paul Buhler