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BIG DATA FUNDAMENTALS: CONCEPTS, DRIVERS & TECHNIQUES (THE By Thomas Erl & Wajid
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US $41.95
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Condition:
“Book is in Very Good Condition. Text will be unmarked. May show some signs of use or wear. Will ”... Read moreabout condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: US, United States
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Estimated between Mon, 20 Oct and Thu, 23 Oct to 94104
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eBay item number:187519635108
Item specifics
- Condition
- Very Good
- Seller Notes
- ISBN-10
- 0134291077
- Book Title
- Big Data Fundamentals: Concepts, Drivers & Techniques (The
- ISBN
- 9780134291079
About this product
Product Identifiers
Publisher
Pearson Education
ISBN-10
0134291077
ISBN-13
9780134291079
eBay Product ID (ePID)
215948360
Product Key Features
Number of Pages
240 Pages
Language
English
Publication Name
Big Data Fundamentals : concepts, Drivers and Techniques
Publication Year
2016
Subject
Databases / Data Warehousing, Databases / Data Mining, Databases / General
Type
Textbook
Subject Area
Computers
Series
The Pearson Service Technology Series from Thomas Erl Ser.
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
13.6 Oz
Item Length
9 in
Item Width
6.9 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2015-953680
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/12
Synopsis
"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, Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more - all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples., "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, "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
LC Classification Number
QA76.9.D32
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- 8***g (253)- Feedback left by buyer.Past 6 monthsVerified purchaseA smooth and professional transaction throughout. The item was exactly as described, clearly listed, and fairly priced. Communication from the seller was prompt, polite, and helpful, with dispatch confirmed quickly. The parcel was securely packaged and arrived in excellent condition, ahead of the expected delivery date. Care was taken at every stage of the process. I would be happy to buy from this seller again—many thanks for a reliable and well-handled sale.FINLAND AND EUROPE: INTERNATIONAL CRISES IN THE PERIOD OF By Juhani Paasivirta (#335694307643)
- 0***t (10)- Feedback left by buyer.Past monthVerified purchaseItem was exactly as described and packaged to protect it. Seller’s pricing was spot on and when I received it, it was in good condition. Seller actually messaged me when they shipped it (I really appreciated that). Overall I’m happy doing business with them!
- t***s (44)- Feedback left by buyer.Past 6 monthsVerified purchaseThe Item itself I rate five stars. The seller, however, I stop at four stars. The seller met two out of three categories I look for when judging my purchasing experience: how well it was packaged, how quickly it was shipped, and how properly it was described; this seller provided prompt shipping and an accurate description, but failed when it came to packaging. The item arrived in a plastic bag without any reinforcement or protection whatsoever and suffered dinged corners on multiple fronts.
Popular categories from this store
Seller feedback (309,312)
- 8***g (253)- Feedback left by buyer.Past 6 monthsVerified purchaseA smooth and professional transaction throughout. The item was exactly as described, clearly listed, and fairly priced. Communication from the seller was prompt, polite, and helpful, with dispatch confirmed quickly. The parcel was securely packaged and arrived in excellent condition, ahead of the expected delivery date. Care was taken at every stage of the process. I would be happy to buy from this seller again—many thanks for a reliable and well-handled sale.FINLAND AND EUROPE: INTERNATIONAL CRISES IN THE PERIOD OF By Juhani Paasivirta (#335694307643)
- 0***t (10)- Feedback left by buyer.Past monthVerified purchaseItem was exactly as described and packaged to protect it. Seller’s pricing was spot on and when I received it, it was in good condition. Seller actually messaged me when they shipped it (I really appreciated that). Overall I’m happy doing business with them!
- t***s (44)- Feedback left by buyer.Past 6 monthsVerified purchaseThe Item itself I rate five stars. The seller, however, I stop at four stars. The seller met two out of three categories I look for when judging my purchasing experience: how well it was packaged, how quickly it was shipped, and how properly it was described; this seller provided prompt shipping and an accurate description, but failed when it came to packaging. The item arrived in a plastic bag without any reinforcement or protection whatsoever and suffered dinged corners on multiple fronts.