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Big Data Fundamentals: Concepts, Drivers & Techniques (The Pearson Service Tech,
US $30.99
ApproximatelyS$ 40.24
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“Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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US $6.99 (approx S$ 9.08) USPS Media MailTM.
Located in: Multiple Locations, United States
Delivery:
Estimated between Sat, 18 Oct and Sat, 25 Oct to 94104
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eBay item number:388496770051
Item specifics
- Condition
- Good
- Seller Notes
- “Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
- Book Title
- Big Data Fundamentals: Concepts, Drivers & Techniques (The Pears,
- Topic
- Data Mining
- Narrative Type
- Data Mining
- Genre
- N/A
- Intended Audience
- N/A
- 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
Item description from the seller
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- a***i (13973)- Feedback left by buyer.Past monthVerified purchaseExceptionally Positive Experience Buying From This Seller, Exemplary Fast Early Delivery, Perfect packing job, Exactly as Described, Great Customer Communication and Service, EXCELLENT TRANSACTION, Fair Prices, Highly Recommend Buying From This Seller!!! YOUR the BEST seller on e-Bay. Way to go!!
- m***a (267)- Feedback left by buyer.Past yearVerified purchaseThe book was in exactly the condition described in the listing. I generally don’t buy books that only have one photo.It was shipped quickly. The book arrived via Amazon box truck and was in Amazon packaging, so I assume this seller also lists books on Amazon. I wish I had known this as I am trying to not shop Amazon. I just think other buyers might want to know this. Still, the book was packed with care in a bubble envelope. Shipping costs were reasonable, but there was no tracking available.The Anne of Green Gables Cookbook by Macdonald (#187076052775)
- l***l (650)- Feedback left by buyer.Past 6 monthsVerified purchaseThis item was reported mailed within 3 days of order. However, I did not receive it. I waited 4 days past expected delivery date before notifying seller. Seller reported that the item must have been list in the mail, and I received an apology and a refund the next day. Disappointed in but receiving the book, but I would definitely purchase from this seller againEtched in Stone: Archeological Discoveries that Prove the Bible by Bassett-Brody (#388177289478)