Big Data for Chimps PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data for Chimps PDF full book. Access full book title Big Data for Chimps by Philip (flip) Kromer. Download full books in PDF and EPUB format.
Author: Philip (flip) Kromer
Publisher: "O'Reilly Media, Inc."
ISBN: 1491923903
Category : Computers
Languages : en
Pages : 224
Get Book Here
Book Description
Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them
Author: Philip (flip) Kromer
Publisher: "O'Reilly Media, Inc."
ISBN: 1491923903
Category : Computers
Languages : en
Pages : 224
Get Book Here
Book Description
Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them
Author: Philip Kromer. Russell Jurney
Publisher:
ISBN: 9781491923931
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Chen-Gaffey, Aiping
Publisher: IGI Global
ISBN: 1522532390
Category : Language Arts & Disciplines
Languages : en
Pages : 142
Get Book Here
Book Description
Electronic publications are proving to be a popular resource for many consumers. It is imperative that the credibility of vendor-supplied usage data is analyzed in order to present the most accurate, non-biased information on these up-and-coming products. Measuring the Validity of Usage Reports Provided by E-Book Vendors: Emerging Research and Opportunities is a pivotal scholarly source that examines the current practices and trends in usage reporting and offers recommendations for further refinement of this system. Featuring pertinent topics including COUNTER standardization, usage data, data consolidation, and report formatting, this publication is an ideal resource for academicians, students, and researchers that are interested in the latest evaluations in vendor-submitted usage reports.
Author: Elizabeth Hess
Publisher: Bantam
ISBN: 0553382772
Category : Biography & Autobiography
Languages : en
Pages : 386
Get Book Here
Book Description
Chronicles an experiment with a young chimpanzee who was brought up with a human family and taught to use sign language proficiently, until the funding for the study ended and he spent two decades shuttled in and out of various facilities.
Author: Rajkumar Buyya
Publisher: Morgan Kaufmann
ISBN: 0128093463
Category : Computers
Languages : en
Pages : 496
Get Book Here
Book Description
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. Covers computational platforms supporting Big Data applications Addresses key principles underlying Big Data computing Examines key developments supporting next generation Big Data platforms Explores the challenges in Big Data computing and ways to overcome them Contains expert contributors from both academia and industry
Author:
Publisher: DIANE Publishing
ISBN: 142892258X
Category : Gene mapping
Languages : en
Pages : 215
Get Book Here
Book Description
Author: Kiran Chaudhary
Publisher: CRC Press
ISBN: 1000755789
Category : Computers
Languages : en
Pages : 212
Get Book Here
Book Description
Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making.
Author: Micha Gorelick
Publisher: O'Reilly Media
ISBN: 1492054992
Category : Computers
Languages : en
Pages : 469
Get Book Here
Book Description
Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker
Author: Jon Cohen
Publisher: Macmillan
ISBN: 1429958014
Category : Science
Languages : en
Pages : 384
Get Book Here
Book Description
The captivating story of how a band of scientists has redrawn the genetic and behavioral lines that separate humans from our nearest cousins In the fall of 2005, a band of researchers cracked the code of the chimpanzee genome and provided a startling new window into the differences between humans and our closest primate cousins. For the past several years, acclaimed Science reporter Jon Cohen has been following the DNA hunt, as well as eye-opening new studies in ape communication, human evolution, disease, diet, and more. In Almost Chimpanzee, Cohen invites us on a captivating scientific journey, taking us behind the scenes in cutting-edge genetics labs, rain forests in Uganda, sanctuaries in Iowa, experimental enclaves in Japan, even the Detroit Zoo. Along the way, he ferries fresh chimp sperm for a time-sensitive analysis, gets greeted by pant-hoots and chimp feces, and investigates an audacious attempt to breed a humanzee. Cohen offers a fresh and often frankly humorous insider's tour of the latest research, which promises to lead to everything from insights about the unique ways our bodies work to shedding light on stubborn human-only problems, ranging from infertility and asthma to speech disorders. And in the end, Cohen explains why it's time to move on from Jane Goodall's plea that we focus on how the two species are alike and turns to examining why our differences matter in vital ways—for understanding humans and for increasing the chances to save the endangered chimpanzee.
Author: Jonathan H. Turner
Publisher: Routledge
ISBN: 135162069X
Category : Social Science
Languages : en
Pages : 274
Get Book Here
Book Description
Written by leading theorists and empirical researchers, this book presents new ways of addressing the old question: Why did religion first emerge and then continue to evolve in all human societies? The authors of the book—each with a different background across the social sciences and humanities—assimilate conceptual leads and empirical findings from anthropology, evolutionary biology, evolutionary sociology, neurology, primate behavioral studies, explanations of human interaction and group dynamics, and a wide range of religious scholarship to construct a deeper and more powerful explanation of the origins and subsequent evolutionary development of religions than can currently be found in what is now vast literature. While explaining religion has been a central question in many disciplines for a long time, this book draws upon a much wider array of literature to develop a robust and cross-disciplinary analysis of religion. The book remains true to its subtitle by emphasizing an array of both biological and sociocultural forms of selection dynamics that are fundamental to explaining religion as a universal institution in human societies. In addition to Darwinian selection, which can explain the biology and neurology of religion, the book outlines a set of four additional types of sociocultural natural selection that can fill out the explanation of why religion first emerged as an institutional system in human societies, and why it has continued to evolve over the last 300,000 years of societal evolution. These sociocultural forms of natural selection are labeled by the names of the early sociologists who first emphasized them, and they can be seen as a necessary supplement to the type of natural selection theorized by Charles Darwin. Explanations of religion that remain in the shadow cast by Darwin’s great insights will, it is argued, remain narrow and incomplete when explaining a robust sociocultural phenomenon like religion.
