Description: Big Data Fundamentals : Concepts, Drivers, and Techniques, Paperback by Erl, Thomas; Khattak, Wajid; Buhler, Paul, ISBN 0134291077, ISBN-13 9780134291079, Brand New, Free shipping in the US “This text should be required reading for everyone in contemporary business.”
--Peter Woodhull, CEO, Modus21
“The on 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
Price: 43.35 USD
Location: Jessup, Maryland
End Time: 2024-11-02T00:55:07.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Big Data Fundamentals : Concepts, Drivers, and Techniques
Number of Pages: 240 Pages
Publication Name: Big Data Fundamentals : concepts, Drivers and Techniques
Language: English
Publisher: Pearson Education
Item Height: 0.7 in
Publication Year: 2016
Subject: Databases / Data Warehousing, Databases / Data Mining, Databases / General
Item Weight: 13.6 Oz
Type: Textbook
Subject Area: Computers
Item Length: 9 in
Author: Paul Buhler, Wajid Khattak, Thomas Erl
Item Width: 6.9 in
Series: The Pearson Service Technology Series from Thomas Erl Ser.
Format: Trade Paperback
