Principles and Practice of Big Data

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. Presents new methodologies that are widely applicable to just about any project involving large and complex datasets Offers readers informative new case studies across a range scientific and engineering disciplines Provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues Utilizes a combination of pseudocode and very short snippets of Python code to show readers how they may develop their own projects without downloading or learning new software

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  • Author : Jules J Berman
  • Publisher : Academic Press
  • Pages : 480 pages
  • ISBN : 0128156104
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKPrinciples and Practice of Big Data

Principles and Practice of Big Data

Principles and Practice of Big Data
  • Author : Jules J Berman
  • Publisher : Academic Press
  • Release : 23 July 2018
GET THIS BOOKPrinciples and Practice of Big Data

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book

Principles of Big Data

Principles of Big Data
  • Author : Jules J. Berman
  • Publisher : Newnes
  • Release : 20 May 2013
GET THIS BOOKPrinciples of Big Data

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held

Big Data

Big Data
  • Author : Nathan Marz,James Warren
  • Publisher : Manning Publications Company
  • Release : 24 July 2021
GET THIS BOOKBig Data

Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once

Big Data

Big Data
  • Author : Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi
  • Publisher : Morgan Kaufmann
  • Release : 07 June 2016
GET THIS BOOKBig Data

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,

Data Privacy

Data Privacy
  • Author : Nataraj Venkataramanan,Ashwin Shriram
  • Publisher : CRC Press
  • Release : 03 October 2016
GET THIS BOOKData Privacy

The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and

Principles and Practice of Clinical Research

Principles and Practice of Clinical Research
  • Author : John I. Gallin,Frederick P Ognibene
  • Publisher : Elsevier
  • Release : 28 April 2011
GET THIS BOOKPrinciples and Practice of Clinical Research

The second edition of this innovative work again provides a unique perspective on the clinical discovery process by providing input from experts within the NIH on the principles and practice of clinical research. Molecular medicine, genomics, and proteomics have opened vast opportunities for translation of basic science observations to the bedside through clinical research. As an introductory reference it gives clinical investigators in all fields an awareness of the tools required to ensure research protocols are well designed and comply

The Politics and Policies of Big Data

The Politics and Policies of Big Data
  • Author : Ann Rudinow Sætnan,Ingrid Schneider,Nicola Green
  • Publisher : Routledge
  • Release : 08 May 2018
GET THIS BOOKThe Politics and Policies of Big Data

Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful

Principles and Methods for Data Science

Principles and Methods for Data Science
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 28 May 2020
GET THIS BOOKPrinciples and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression

Big Data

Big Data
  • Author : Rajkumar Buyya,Amir Vahid Dastjerdi,Rodrigo N Calheiros
  • Publisher : Morgan Kaufmann Publishers
  • Release : 09 June 2016
GET THIS BOOKBig Data

"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,

Principles of Data Wrangling

Principles of Data Wrangling
  • Author : Tye Rattenbury,Joseph M. Hellerstein,Jeffrey Heer,Sean Kandel,Connor Carreras
  • Publisher : "O'Reilly Media, Inc."
  • Release : 29 June 2017
GET THIS BOOKPrinciples of Data Wrangling

A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives

Big Data and Social Science

Big Data and Social Science
  • Author : Ian Foster,Rayid Ghani,Ron S. Jarmin,Frauke Kreuter,Julia Lane
  • Publisher : CRC Press
  • Release : 18 November 2020
GET THIS BOOKBig Data and Social Science

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify

Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science
  • Author : Roberto Rivera
  • Publisher : John Wiley & Sons
  • Release : 19 February 2020
GET THIS BOOKPrinciples of Managerial Statistics and Data Science

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples

Forecasting: principles and practice

Forecasting: principles and practice
  • Author : Rob J Hyndman,George Athanasopoulos
  • Publisher : OTexts
  • Release : 08 May 2018
GET THIS BOOKForecasting: principles and practice

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Data Visualization

Data Visualization
  • Author : Alexandru C. Telea
  • Publisher : CRC Press
  • Release : 18 September 2014
GET THIS BOOKData Visualization

Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more. Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a