Big Data Quality A Complete Guide - 2020 Edition PDF Download

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655972389
Category :
Languages : en
Pages : 0

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Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655922384
Category :
Languages : en
Pages : 304

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Book Description
What is a Data-Driven Business Model? How can companies start implementing big data technologies? Is the data easily accessible, understandable, and usable? Was the data collected in accordance with relevant privacy laws? How important is big data to your organization? This valuable Big Data Quality self-assessment will make you the principal Big Data Quality domain adviser by revealing just what you need to know to be fluent and ready for any Big Data Quality challenge. How do I reduce the effort in the Big Data Quality work to be done to get problems solved? How can I ensure that plans of action include every Big Data Quality task and that every Big Data Quality outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Quality costs are low? How can I deliver tailored Big Data Quality advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Big Data Quality essentials are covered, from every angle: the Big Data Quality self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Quality outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Quality practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Big Data Quality are maximized with professional results. Your purchase includes access details to the Big Data Quality self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data Quality Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Author: James Warren
Publisher: Simon and Schuster
ISBN: 1638351104
Category : Computers
Languages : en
Pages : 481

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Book Description
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 they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655968986
Category :
Languages : en
Pages : 0

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Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002695
Category : Business & Economics
Languages : en
Pages : 257

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Book Description
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9781867343943
Category :
Languages : en
Pages : 310

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Book Description
How valid is your approximation? How do you re-compute big data analytics in case of code changes? How successful has big data management been in terms of supporting business goals? What tools or apps do people use to connect? Does your storage need modernizing? This one-of-a-kind Big Data Software self-assessment will make you the credible Big Data Software domain leader by revealing just what you need to know to be fluent and ready for any Big Data Software challenge. How do I reduce the effort in the Big Data Software work to be done to get problems solved? How can I ensure that plans of action include every Big Data Software task and that every Big Data Software outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Software costs are low? How can I deliver tailored Big Data Software advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Big Data Software essentials are covered, from every angle: the Big Data Software self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Software outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Software practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Big Data Software are maximized with professional results. Your purchase includes access details to the Big Data Software self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data Software Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9781867301516
Category :
Languages : en
Pages : 308

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Book Description
How adequate are any data quality assurance procedures and data validation that were followed? What is a Data Quality Assurance Plan? Is your process for data quality assurance proactive or reactive? Why is data quality assurance so important for your organization? What is big data quality assurance? This easy Data Quality Assurance self-assessment will make you the principal Data Quality Assurance domain assessor by revealing just what you need to know to be fluent and ready for any Data Quality Assurance challenge. How do I reduce the effort in the Data Quality Assurance work to be done to get problems solved? How can I ensure that plans of action include every Data Quality Assurance task and that every Data Quality Assurance outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Quality Assurance costs are low? How can I deliver tailored Data Quality Assurance advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Quality Assurance essentials are covered, from every angle: the Data Quality Assurance self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Quality Assurance outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Quality Assurance practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Quality Assurance are maximized with professional results. Your purchase includes access details to the Data Quality Assurance self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Assurance Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655969273
Category :
Languages : en
Pages : 0

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Author: Thomas C. Redman
Publisher: Digital Press
ISBN: 9781555582517
Category : Computers
Languages : en
Pages : 264

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Book Description
Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points. Allows readers to go directly to the topic of interest Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what "works"

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655933557
Category :
Languages : en
Pages : 296

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Book Description
Could training be carried out by your organization or would outside help be needed? Do you have sufficient storage or will you need to include charges for additional services? What are you hearing about Internal Audit Data Analytics? Where is your reference data stored? What is a reference data service? This powerful Data Quality Services self-assessment will make you the assured Data Quality Services domain assessor by revealing just what you need to know to be fluent and ready for any Data Quality Services challenge. How do I reduce the effort in the Data Quality Services work to be done to get problems solved? How can I ensure that plans of action include every Data Quality Services task and that every Data Quality Services outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Quality Services costs are low? How can I deliver tailored Data Quality Services advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Quality Services essentials are covered, from every angle: the Data Quality Services self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Quality Services outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Quality Services practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Quality Services are maximized with professional results. Your purchase includes access details to the Data Quality Services self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Services Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.