Beginning Relational Data Modeling

Beginning Relational Data Modeling
By:Sharon Lee Allen,Evan Terry
Published on 2006-11-03 by Apress

*Immediately accessible to anyone who must design a relational data model—regardless of prior experience *Concise, straightforward explanations to a usually complex/ jargon-rich discipline *Examples are based on extensive author experience modeling for real business systems

This Book was ranked at 8 by Google Books for keyword Data Processing.

Book ID of Beginning Relational Data Modeling's Books is 62CFtFea0NsC, Book which was written bySharon Lee Allen,Evan Terryhave ETAG "Wgpx3Kq7yqM"

Book which was published by Apress since 2006-11-03 have ISBNs, ISBN 13 Code is 9781430200154 and ISBN 10 Code is 1430200154

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The Art and Science of Analyzing Software Data

The Art and Science of Analyzing Software Data
By:Christian Bird,Tim Menzies,Thomas Zimmermann
Published on 2015-09-02 by Elsevier

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. Presents best practices, hints, and tips to analyze data and apply tools in data science projects Presents research methods and case studies that have emerged over the past few years to further understanding of software data Shares stories from the trenches of successful data science initiatives in industry

This Book was ranked at 17 by Google Books for keyword Data Processing.

Book ID of The Art and Science of Analyzing Software Data's Books is g-HIBAAAQBAJ, Book which was written byChristian Bird,Tim Menzies,Thomas Zimmermannhave ETAG "T2XfwolUZnE"

Book which was published by Elsevier since 2015-09-02 have ISBNs, ISBN 13 Code is 9780124115439 and ISBN 10 Code is 0124115438

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Schaum's outline of theory and problems of data processing

Schaum's outline of theory and problems of data processing
By:Martin M. Lipschutz,Seymour Lipschutz
Published on 1981 by McGraw-Hill Companies

This Book was ranked at 5 by Google Books for keyword Data Processing.

Book ID of Schaum's outline of theory and problems of data processing's Books is 5UQgAQAAIAAJ, Book which was written byMartin M. Lipschutz,Seymour Lipschutzhave ETAG "Dobm9FcDZ5Q"

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Programming Challenges

Programming Challenges
By:Steven S Skiena,Miguel A. Revilla
Published on 2006-04-18 by Springer Science & Business Media

There are many distinct pleasures associated with computer programming. Craftsm- ship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the ?ash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. Therearepleasuresinparsimony,insqueezingthelastdropofperformanceoutofclever algorithms and tight coding. Thegames,puzzles,andchallengesofproblemsfrominternationalprogrammingc- petitionsareagreatwaytoexperiencethesepleasureswhileimprovingyouralgorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to - tack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. To the Reader Theproblemsinthisbookhavebeenselectedfromover1,000programmingproblemsat the Universidad de Valladolid online judge, available athttp://online-judge.uva.es.The judgehasruledonwelloveronemillionsubmissionsfrom27,000registeredusersaround the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available.

This Book was ranked at 31 by Google Books for keyword Data Processing.

Book ID of Programming Challenges's Books is dNoLBwAAQBAJ, Book which was written bySteven S Skiena,Miguel A. Revillahave ETAG "4TF/L4wc+wY"

Book which was published by Springer Science & Business Media since 2006-04-18 have ISBNs, ISBN 13 Code is 9780387220819 and ISBN 10 Code is 038722081X

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Guideline for Automatic Data Processing Risk Analysis

Guideline for Automatic Data Processing Risk Analysis
By:United States. National Bureau of Standards
Published on 1979 by

This Book was ranked at 27 by Google Books for keyword Data Processing.

Book ID of Guideline for Automatic Data Processing Risk Analysis's Books is i3jpDkDroy8C, Book which was written byUnited States. National Bureau of Standardshave ETAG "Zy+wMaiM8Fw"

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Business data processing

Business data processing
By:Mike Murach
Published on 1980-09-01 by Sra

This Book was ranked at 19 by Google Books for keyword Data Processing.

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Modeling and Processing for Next-Generation Big-Data Technologies

Modeling and Processing for Next-Generation Big-Data Technologies
By:Fatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgji
Published on 2014-11-04 by Springer

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

This Book was ranked at 3 by Google Books for keyword Data Processing.

Book ID of Modeling and Processing for Next-Generation Big-Data Technologies's Books is YJgvBQAAQBAJ, Book which was written byFatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgjihave ETAG "RAQTJ1WN+vU"

Book which was published by Springer since 2014-11-04 have ISBNs, ISBN 13 Code is 9783319091778 and ISBN 10 Code is 3319091778

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Management of the punched card data processing department

Management of the punched card data processing department
By:International Business Machines Corporation
Published on 1966 by

This Book was ranked at 19 by Google Books for keyword Data Processing.

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Spark: The Definitive Guide

Spark: The Definitive Guide
By:Bill Chambers,Matei Zaharia
Published on 2018-02-08 by |O'Reilly Media, Inc.|

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

This Book was ranked at 38 by Google Books for keyword Data Processing.

Book ID of Spark: The Definitive Guide's Books is pitLDwAAQBAJ, Book which was written byBill Chambers,Matei Zahariahave ETAG "VKeHwWAKYZ8"

Book which was published by |O'Reilly Media, Inc.| since 2018-02-08 have ISBNs, ISBN 13 Code is 9781491912294 and ISBN 10 Code is 1491912294

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Learning Alteryx

Learning Alteryx
By:Renato Baruti
Published on 2017-12-26 by Packt Publishing Ltd

Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform About This Book Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions Includes real-world examples to put your understanding of the features in Alteryx to practical use Who This Book Is For This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book. What You Will Learn Create efficient workflows with Alteryx to answer complex business questions Learn how to speed up the cleansing, data preparing, and shaping process Blend and join data into a single dataset for self-service analysis Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data Develop high-quality, data-driven reports to improve consistency in reporting and analysis Explore the flexibility of macros by automating analytic processes Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule Share your workflows and insights with relevant stakeholders In Detail Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx's features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx's self-service analytics features, this book will be the perfect companion for you. Style and approach Comprehensive, step by step guide filled with real-world examples to step through the complex business questions using one of the leading data analytics platform.

This Book was ranked at 4 by Google Books for keyword Data Processing.

Book ID of Learning Alteryx's Books is MvNFDwAAQBAJ, Book which was written byRenato Barutihave ETAG "Ccvq1r6pEfw"

Book which was published by Packt Publishing Ltd since 2017-12-26 have ISBNs, ISBN 13 Code is 9781788398688 and ISBN 10 Code is 1788398688

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The effects of word processing and automated data entry technology on the quantity and quality of users' jobs

The effects of word processing and automated data entry technology on the quantity and quality of users' jobs
By:McNeil, Jeannine,Garand, Micheline,Canadian Workplace Automation Research Centre. Organizational Research Directorate
Published on 1989 by Canadian Workplace Automation Research Centre, Organizational Research Directorate

This Book was ranked at 3 by Google Books for keyword Data Processing.

Book ID of The effects of word processing and automated data entry technology on the quantity and quality of users' jobs's Books is KpdYAAAAYAAJ, Book which was written byMcNeil, Jeannine,Garand, Micheline,Canadian Workplace Automation Research Centre. Organizational Research Directoratehave ETAG "smD+4NAL8o0"

Book which was published by Canadian Workplace Automation Research Centre, Organizational Research Directorate since 1989 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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A management guide to computer programming

A management guide to computer programming
By:American Data Processing, Inc
Published on 1968 by

This Book was ranked at 15 by Google Books for keyword Data Processing.

Book ID of A management guide to computer programming's Books is hwNaAAAAMAAJ, Book which was written byAmerican Data Processing, Inchave ETAG "uGxvyCN2r6U"

Book which was published by since 1968 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Cloud Data Management

Cloud Data Management
By:Liang Zhao,Sherif Sakr,Anna Liu,Athman Bouguettaya
Published on 2014-07-08 by Springer

In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost. Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications.

This Book was ranked at 22 by Google Books for keyword Data Processing.

Book ID of Cloud Data Management's Books is Qj-5BQAAQBAJ, Book which was written byLiang Zhao,Sherif Sakr,Anna Liu,Athman Bouguettayahave ETAG "KUBUeoqdTrc"

Book which was published by Springer since 2014-07-08 have ISBNs, ISBN 13 Code is 9783319047652 and ISBN 10 Code is 3319047655

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Managing and Processing Big Data in Cloud Computing

Managing and Processing Big Data in Cloud Computing
By:Kannan, Rajkumar
Published on 2016-01-07 by IGI Global

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.

This Book was ranked at 39 by Google Books for keyword Data Processing.

Book ID of Managing and Processing Big Data in Cloud Computing's Books is 9NFYCwAAQBAJ, Book which was written byKannan, Rajkumarhave ETAG "SCAeQNdA1KA"

Book which was published by IGI Global since 2016-01-07 have ISBNs, ISBN 13 Code is 9781466697683 and ISBN 10 Code is 1466697687

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Automatic interpretation and classification of images

Automatic interpretation and classification of images
By:Antonio Grasselli
Published on 1969 by

This Book was ranked at 19 by Google Books for keyword Data Processing.

Book ID of Automatic interpretation and classification of images's Books is SExgAAAAMAAJ, Book which was written byAntonio Grassellihave ETAG "PyyhG998oxg"

Book which was published by since 1969 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Big Data 2.0 Processing Systems

Big Data 2.0 Processing Systems
By:Sherif Sakr
Published on 2016-08-24 by Springer

This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and big data processing scenarios such as the large-scale processing of structured data, graph data and streaming data. Thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Lastly, Chapter 6 shares conclusions and an outlook on future research challenges. Overall, the book offers a valuable reference guide for students, researchers and professionals in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.

This Book was ranked at 6 by Google Books for keyword Data Processing.

Book ID of Big Data 2.0 Processing Systems's Books is VJblDAAAQBAJ, Book which was written bySherif Sakrhave ETAG "+RhvQj/ajsE"

Book which was published by Springer since 2016-08-24 have ISBNs, ISBN 13 Code is 9783319387765 and ISBN 10 Code is 3319387766

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Distributed Data Processing

Distributed Data Processing
By:Michael P. Mariani
Published on 1984 by North Holland

This Book was ranked at 30 by Google Books for keyword Data Processing.

Book ID of Distributed Data Processing's Books is X34EAQAAIAAJ, Book which was written byMichael P. Marianihave ETAG "ChGqaRcg0tc"

Book which was published by North Holland since 1984 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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How to break into data processing

How to break into data processing
By:Laura Steibel Sessions
Published on 1982-10-01 by Prentice Hall

Outlines the employment opportunities in data processing, explains how to obtain the necessary training, and offers guidance on hunting for a data processing job

This Book was ranked at 4 by Google Books for keyword Data Processing.

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Book which was published by Prentice Hall since 1982-10-01 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Electronic data processing systems and procedures

Electronic data processing systems and procedures
By:George A. Gleim
Published on 1971 by Prentice Hall

This Book was ranked at 40 by Google Books for keyword Data Processing.

Book ID of Electronic data processing systems and procedures's Books is MOHvAAAAMAAJ, Book which was written byGeorge A. Gleimhave ETAG "1KAfGN+rojM"

Book which was published by Prentice Hall since 1971 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Learning Processing

Learning Processing
By:Daniel Shiffman
Published on 2015-09-09 by Newnes

Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study. A friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages No previous experience required—this book is for the true programming beginner! Step-by-step examples, thorough explanations, hands-on exercises, and sample code supports your learning curve

This Book was ranked at 15 by Google Books for keyword Data Processing.

Book ID of Learning Processing's Books is 78ucBAAAQBAJ, Book which was written byDaniel Shiffmanhave ETAG "hl/5fwtc7mo"

Book which was published by Newnes since 2015-09-09 have ISBNs, ISBN 13 Code is 9780123947925 and ISBN 10 Code is 0123947928

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