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Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655447276
Category :
Languages : en
Pages : 278
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Book Description
Is the measure of success for Big Data Storage understandable to a variety of people? Which individuals, teams or departments will be involved in Big Data Storage? How will the Big Data Storage team and the organization measure complete success of Big Data Storage? How do senior leaders actions reflect a commitment to the organizations Big Data Storage values? Is there a recommended audit plan for routine surveillance inspections of Big Data Storage's gains? This premium Big Data Storage self-assessment will make you the established Big Data Storage domain auditor by revealing just what you need to know to be fluent and ready for any Big Data Storage challenge. How do I reduce the effort in the Big Data Storage work to be done to get problems solved? How can I ensure that plans of action include every Big Data Storage task and that every Big Data Storage outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Storage costs are low? How can I deliver tailored Big Data Storage 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 Storage essentials are covered, from every angle: the Big Data Storage self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Storage outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Storage 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 Storage are maximized with professional results. Your purchase includes access details to the Big Data Storage 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, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. 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: 9780655447276
Category :
Languages : en
Pages : 278
Get Book Here
Book Description
Is the measure of success for Big Data Storage understandable to a variety of people? Which individuals, teams or departments will be involved in Big Data Storage? How will the Big Data Storage team and the organization measure complete success of Big Data Storage? How do senior leaders actions reflect a commitment to the organizations Big Data Storage values? Is there a recommended audit plan for routine surveillance inspections of Big Data Storage's gains? This premium Big Data Storage self-assessment will make you the established Big Data Storage domain auditor by revealing just what you need to know to be fluent and ready for any Big Data Storage challenge. How do I reduce the effort in the Big Data Storage work to be done to get problems solved? How can I ensure that plans of action include every Big Data Storage task and that every Big Data Storage outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Storage costs are low? How can I deliver tailored Big Data Storage 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 Storage essentials are covered, from every angle: the Big Data Storage self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Storage outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Storage 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 Storage are maximized with professional results. Your purchase includes access details to the Big Data Storage 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, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. 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: 9780655367550
Category :
Languages : en
Pages : 0
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Book Description
Author: Gerardus Blokdyk
Publisher: Createspace Independent Publishing Platform
ISBN: 9781719111997
Category :
Languages : en
Pages : 140
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Book Description
What is the purpose of Digital Data Storage in relation to the mission? What is the total cost related to deploying Digital Data Storage, including any consulting or professional services? How do we make it meaningful in connecting Digital Data Storage with what users do day-to-day? To what extent does management recognize Digital Data Storage as a tool to increase the results? Whats the best design framework for Digital Data Storage organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant? This instant Digital Data Storage self-assessment will make you the assured Digital Data Storage domain adviser by revealing just what you need to know to be fluent and ready for any Digital Data Storage challenge. How do I reduce the effort in the Digital Data Storage work to be done to get problems solved? How can I ensure that plans of action include every Digital Data Storage task and that every Digital Data Storage outcome is in place? How will I save time investigating strategic and tactical options and ensuring Digital Data Storage costs are low? How can I deliver tailored Digital Data Storage 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 Digital Data Storage essentials are covered, from every angle: the Digital Data Storage self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Digital Data Storage outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Digital Data Storage 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 Digital Data Storage are maximized with professional results. Your purchase includes access details to the Digital Data Storage 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.
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: Fei Hu
Publisher: CRC Press
ISBN: 1498734871
Category : Computers
Languages : en
Pages : 449
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Book Description
Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi
Author: Singh, Manoj Kumar
Publisher: IGI Global
ISBN: 1522501835
Category : Computers
Languages : en
Pages : 345
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Book Description
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
Author: Peter Lake
Publisher: Springer Science & Business Media
ISBN: 1447156013
Category : Computers
Languages : en
Pages : 316
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Book Description
This easy-to-read textbook/reference presents a comprehensive introduction to databases, opening with a concise history of databases and of data as an organisational asset. As relational database management systems are no longer the only database solution, the book takes a wider view of database technology, encompassing big data, NoSQL, object and object-relational and in-memory databases. The text also examines the issues of scalability, availability, performance and security encountered when building and running a database in the real world. Topics and features: presents review and discussion questions at the end of each chapter, in addition to skill-building, hands-on exercises; introduces the fundamental concepts and technologies in database systems, placing these in an historic context; describes the challenges faced by database professionals; reviews the use of a variety of database types in business environments; discusses areas for further research within this fast-moving domain.
Author: Krish Krishnan
Publisher: Newnes
ISBN: 0124059201
Category : Computers
Languages : en
Pages : 371
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Book Description
Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. - Learn how to leverage Big Data by effectively integrating it into your data warehouse. - Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies - Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
Author: Judith S. Hurwitz
Publisher: John Wiley & Sons
ISBN: 1118644174
Category : Computers
Languages : en
Pages : 336
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Book Description
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Author: Thomas Erl
Publisher: Prentice Hall
ISBN: 0134291204
Category : Computers
Languages : en
Pages : 424
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Book Description
“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 science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning
