Xem 1-20 trên 766 kết quả Data relations
  • This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:

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  • The UML can be used to describe the complete development of relational and object relational databases 1 from business requirements through the physical data model. However, modeling of the physical data model must express a detailed description of the database. This is done using Rational’s Data Modeling Profile for the UML2 .

    pdf11p trannhu 08-08-2009 240 89   Download

  • Oracle Database Application Developer's Guide - Object-Relational Features describes how to use the object-relational features of the Oracle Server, 10g Release 1 (10.1). Information in this guide applies to versions of the Oracle Server that run on all platforms, and does not include system-specific information. Oracle Database Application Developer's Guide - Object-Relational Features is intended for programmers developing new applications or converting existing applications to run in the Oracle environment.

    pdf252p vitconxinhdep 30-07-2009 147 56   Download

  • This Solution Reference Network Design (SRND) provides a description of the design issues related to optimizing server and application environments. Server farms are built to provide a highly available, scalable infrastructure that on which applications ru . As enterprises grow, so do their application needs which implies that more and more expenditures are allotted for additional application-specific softwar and server requirements. This increase in bottom line expenses heightens the sensitivity to overall retur on investments.

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  • The data center is the repository for applications and data critical to the modern enterprise. The enterprise demands on the data center are increasing, requiring the capacity and flexibility to address a fluid business environment whilst reducing operational costs. Data center expenses such as power, cooling, and space have become more of a concern as the data center grows to address business requirements. Blade servers are the latest server platforms that attempt to address these business drivers.

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  • Learn effective and scalable database design techniques in a SQL Server environment. Pro SQL Server 2012 Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to “get it right” in SQL Server database design and lay a solid groundwork for the future use of valuable business data....

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  • Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams. Recent progress in hardware technology makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using the credit card or phone result in automated data storage, which brings us to a fairly new topic called data streams.

    pdf364p ken333 07-06-2012 85 23   Download

  • Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like....

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  • API publications necessarily address problems of a general nature. With respect to particular circumstances, local, state, and federal laws and regulations should be reviewed. API is not undertaking to meet the duties of employers, manufacturers, or suppliers to warn and properly train and equip their employees, and others exposed, concerning health and safety risks and precautions, nor undertaking their obligations under local, state, or federal laws.

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  • Relational databases, the heart of storing and processing data in the enterprise for over 30 years, are no longer the only game in town. The past seven years have seen the birth —and in some cases the death—of many alternative data stores that are being used in mission-critical enterprise applications. These new data stores have been designed specifically to solve data access problems that relational database can’t handle as effectively. An example of a problem that pushes traditional relational databases to the breaking point is scale.

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  • This book will introduce you to one of the most important extensions to PHP that are available, starting with PHP version 5.0—the PHP Data Objects, commonly known as PDO. PHP grew in to a very popular web programming language due to its simplicity and ease of use. One of the key factors of this growing success is the built-in possibility to access many popular relational database management systems (RDBMS), such as MySQL, PostgreSQL, and SQLite, to name just a few.

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  • Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Atmospheric Monitoring with Arduino and related trade dress are trademarks of O’Reilly Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc., was aware of a trademark claim, the designations have been printed in caps or initial caps.

    pdf89p lock_123 08-04-2013 56 11   Download

  • Managing Time in Relational Databases shows how to make the rich information content of bi-temporal data available to business users, while simplifying the design, maintenance and retrieval of that data. Metadata declarations eliminate the need to directly model temporal data. Temporal data maintenance is isolated in code that can be invoked to update bi-temporal data in any database and from any application program, across the enterprise. Anyone who can write queries against conventional data will be able to write queries against the bi-temporal data structures described in this book....

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  • I often ask myself, “Why do I do this? Why am I writing another edition of this book? Is it worth it? Isn’t there anything else that I could be doing that would be more beneficial to me, my family, or the human race? Well, of course there is. The fact is, however, I generally love relational databases, I love to write, and I want to help other people get better at what they do. When I was first getting started designing databases, I learned from a few great mentors, but as I wanted to progress, I started looking for material on database design, and...

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  • Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. Understanding Group related documents for browsing, group genes and proteins that have similar functionality, or group stocks with similar price fluctuations Summarization Reduce the size of large data sets

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  • Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Big Data Glossary, the image of an elephant seal, and related trade dress are trademarks of O’Reilly Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc., was aware of a trademark claim, the designations have been printed in caps or initial caps....

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  • The existence of different autonomous Web sites containing related information has given rise to the problem of integrating these sources effectively to provide a comprehensive integrated source of relevant information. The advent of e-commerce and the increasing trend of availability of commercial data on the Web has generated the need to analyze and manipulate these data to support corporate decision making. Decision support systems now must be able to harness and analyze Web data to provide organizations with a competitive edge.

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  • Step-by-step instructions carefully walk you through the most common Core Data development tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge. Notes present interesting information related to the discussion. Tips offer advice or show you easier ways to perform tasks. Cautions alert you to possible problems and give you advice on how to avoid them.

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  • Classically, training relation extractors relies on high-quality, manually annotated training data, which can be expensive to obtain. To mitigate this cost, NLU researchers have considered two newly available sources of less expensive (but potentially lower quality) labeled data from distant supervision and crowd sourcing.

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  • Emphasize that each user will have different types of information—each group will have different amounts of office documents, e-mail, database information, and data relating to custom applications. It is not always easy to establish where the information resides and, perhaps more importantly, what the impact would be if the information were lost or damaged.

    pdf48p daokim 08-08-2009 59 3   Download

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