Big Data Fundamentals: Concepts, Drivers & Techniques (The

Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Technology Series from Thomas Erl)
â€œThis text should be required reading for everyone in contemporary business.â€
--Peter Woodhull, CEO, Modus21

â€œThe one book that clearly describes and links Big Data concepts to business utility.â€
--Dr. Christopher Starr, PhD

â€œSimply, this is the best Big Data book on the market!â€
--Sam Rostam, Cascadian IT Group

â€œ...one of the most contemporary approaches Iâ€™ve seen to Big Data fundamentals...â€
--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 Dataâ€™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 â€œVâ€ characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value
- Clarifying Big Dataâ€™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 Dataâ€™s distinct data processing requirements
- Leveraging statistical approaches of quantitative and qualitative analysis
- Applying computational analysis methods, including machine learning
Country USA
Brand Pearson
Manufacturer Pearson
Binding Paperback
ItemPartNumber 9780134291079
ReleaseDate 2016-01-15
UnitCount 1
EANs 9780134291079

Country	USA
Brand	Pearson
Manufacturer	Pearson
Binding	Paperback
ItemPartNumber	9780134291079
ReleaseDate	2016-01-15
UnitCount	1
EANs	9780134291079

Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Technology Series from Thomas Erl)

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