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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Paperback. Condition: Good. ?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 scienceUnderstanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovationPlanning strategic, business-driven Big Data initiativesAddressing considerations such as data management, governance, and securityRecognizing the 5 ?V? characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and valueClarifying Big Data?s relationships with OLTP, OLAP, ETL, data warehouses, and data martsWorking with Big Data in structured, unstructured, semi-structured, and metadata formatsIncreasing value by integrating Big Data resources with corporate performance monitoringUnderstanding how Big Data leverages distributed and parallel processingUsing NoSQL and other technologies to meet Big Data?s distinct data processing requirementsLeveraging statistical approaches of quantitative and qualitative analysisApplying computational analysis methods, including machine learning.…

Paperback. Condition: Very Good. ?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 scienceUnderstanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovationPlanning strategic, business-driven Big Data initiativesAddressing considerations such as data management, governance, and securityRecognizing the 5 ?V? characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and valueClarifying Big Data?s relationships with OLTP, OLAP, ETL, data warehouses, and data martsWorking with Big Data in structured, unstructured, semi-structured, and metadata formatsIncreasing value by integrating Big Data resources with corporate performance monitoringUnderstanding how Big Data leverages distributed and parallel processingUsing NoSQL and other technologies to meet Big Data?s distinct data processing requirementsLeveraging statistical approaches of quantitative and qualitative analysisApplying computational analysis methods, including machine learning.…

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Paperback. Condition: Good. Mathematician Daphne Adler wades through the research to reveal which factors are truly threats to a healthy pregnancy and which are simply red herrings or old wives' tales. From cheese to sex to saunas, Debunking the Bump sheds light on everything expectant mothers need to know to avoid the real risks without skipping the sushi.…

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Paperback. Condition: Very Good. The publication of the first editions of Workshop Statistics (part of the FIPSE and NSF funded Workshop Mathematics Project at Dickinson College) in its three versions established the texts as the most popular for courses stressing active learning in introductory statistics. Workshop Statistics: Discovery with Data 2nd edition features new pedagogical ideas that have proven to be successful with instructors and students. The Workshop approach fosters active learning, and eliminates the distinction between the conventional lecture and laboratory. Using this method every student is actively engaged in learning the material through reading, thinking, discussing, computing, interpreting, and writing. This approach is also well suited to collaborative learning, and stresses the importance of developing communication skills.…

Condition: Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.