Aggregate functions

Xem 1-20 trên 65 kết quả Aggregate functions
  • Multiple values retrieved from a set can be summarized—or aggregated—into a single value that can be used in a calculated member. Some of the most useful analytical formulas created by using multidimensional expressions (MDX) come from aggregating sets of values. In this module, students learn how to use aggregation functions to create formulas.

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  • Introduction Chapter 1: Introducing SQL CLR Chapter 2: Your First CLR Stored Procedure Chapter 3: SQL CLR Structure and Common Tasks Chapter 4: Creating SQL CLR Objects Chapter 5: Comparing T-SQL with Managed Code Chapter 6: Replacing Extended Stored Procedures, Functions, and Other T-SQL Objects Chapter 7: The .NET Framework’s Base Class Library Chapter 8: Using SQL CLR Stored Procedures in Your Applications Chapter 9: Handling Errors in CLR Stored Procedures Chapter 10: CLR Administration and Security Chapter 11: Case Study...

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  • Designed to exploit Oracle 10g's SQL, this book takes a comprehensive look at Oracle 10g's analytical functions, MODEL statements, and regular expressions. In addition, Advanced SQL Functions in Oracle 10g covers collection objects and object-oriented structures and introduces new Oracle 10g topics such as XML and statistical functions. The authors' logical and developmental approach to query building includes a review of older Oracle tools to help in the transition to newer material. This text will teach the reader how to: Format result sets with SQL*Plus reporting tools.

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  • After completing this lesson, you should be able to do the following: Identify the available group functions Describe the use of group functions Group data using the GROUP BY clause Include or exclude grouped rows by using the HAVING clause

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  • To improve the interaction between students and an intelligent tutoring system, we developed two Natural Language generators, that we systematically evaluated in a three way comparison that included the original system as well. We found that the generator which intuitively produces the best language does engender the most learning. Specifically, it appears that functional aggregation is responsible for the improvement.

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  • The molecular biology underlying protein aggregation and neuronal death in Alzheimer’s disease is not yet completely understood, but small soluble nonamyloid aggregates of the amyloidb-protein (Ab) have been shown to play a fundamental neurotoxic role.

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  • TDP-43 (transactive response binding protein of 43 kDa) and FUS (fused in sarcoma) comprise the neuropathological protein aggregates of distinct subtypes of the neurodegenerative diseases frontotemporal lobar degen-eration and amyotrophic lateral sclerosis.

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  • Microsoft Office 2007 is the latest-and-greatest version of a long line of versions, starting (not surprisingly) with Version 1. Not that this is the 2,007th version. Somewhere along the way Microsoft switched from using sequential numbers for versions to using years.

    pdf550p vusuakhonghat 29-05-2009 1295 437   Download

  • Phần 2 SQL Advanced (bài 11) SQL Functions SQL có một số lượng lớn các hàm gắn liền với sự tính toán . Cú pháp của Function : Trích: SELECT function(column) FROM table Ở đây chúng ta chỉ vài kiểu cơ bản trong các loại hàm của SQL. Đây là 2 dạng cơ bản : * (Aggregate functions)

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  • If we weight market capitalizations and net earnings for the three S&P categories and then take the ratio, we have a price-earnings ratio of 19.3 Aggregate earnings and this priceearnings ratio imply an estimate for the aggregate market capitalization of 1.67 times GNP, which is close to that for industrials only. We should note that an estimate of 19 for the price-earnings ratio is significantly higher than that reported by Fisher, who cites the Standard Statistics Company as the source for his data.

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  • Modern complex dynamical systems1 are highly interconnected and mutually interdependent, both physically and through a multitude of information and communication network constraints. The sheer size (i.e., dimensionality) and complexity of these large-scale dynamical systems often necessitates a hierarchical decentralized architecture for analyzing and controlling these systems. Specifically, in the analysis and control-system design of complex large-scale dynamical systems it is often desirable to treat the overall system as a collection of interconnected subsystems.

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  • As bandwidth needs have increased, enterprise customers have found it more economical to aggregate traffic from remote offices and have it backhauled to the data center via a DS3. For the carrier, this presents a problem. The carrier must be able to access the DS1s within the DS3 and then cross-connect them to the appropriate VT1.5s within the SONET payload. Traditionally, this operation has been performed using a Digital Cross-Connect System (DCS) and a SONET ADM. Obviously, requiring two separate devices for this function increases CAPEX and OPEX for the carrier.

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  • Assume a policy with a $2 million premium that reimburses the policyholder when aggregate losses for the calendar year exceed $10 million. Assume that the losses covered by the policy are generally low severity/high frequency, with minimal catastrophe potential (i.e., the policy is meant to cover mostly pricing risk, not large loss risk). Also assume that the expected losses are $8 million, and that the expected losses normally occur evenly throughout the year. After one quarter, losses would have to be 500% of expected for attachment to occur.

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  • Bài giảng "Hibernate query language" trình bày các nội dung: Hibernate Query Language, HQL – from, HQL – selec, HQL – aggregate function, HQL – where, HQL - Expression, HQL – order by, HQL – group by và having, HQL – sub query. Mời các bạn cùng tham khảo nội dung chi tiết.

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  • Our aim is to contribute to the above literature by proposing a life-cycle model with individual income uncertainty that can be used to assess how various macroeconomic factors a®ect the equilibrium value of household credit. We show that its value de- pends on (i) the lending-deposit interest rate spread, (ii) individual income uncertainty, (iii) individual productivity persistence, and (iv) the generosity of the pension system.

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  • This paper describes the design of the Gamma database machine and the techniques employed in its imple- mentation. Gamma is a relational database machine currently operating on an Intel iPSC/2 hypercube with 32 pro- cessors and 32 disk drives. Gamma employs three key technical ideas which enable the architecture to be scaled to 100s of processors. First, all relations are horizontally partitioned across multiple disk drives enabling relations to be scanned in parallel.

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  • Fragile X mental retardation protein (FMRP) is an RNA binding protein necessary for correct spatiotemporal control of neuronal gene expression in humans. Lack of functional FMRP causes fragile X mental retardation, which is the most common inherited neurodevelopmental disorder in humans.

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  • Areas for Improvement: The audit assessment points to numerous areas for potential improvement. However, given its size, resources, and the fact that it is functioning reasonably well under the current model, the hypothetical organization chooses three main areas for development and improvement. The top priority, because it affects all others, is making sure that communications resources are a distinct budget line item in every grant proposal. The organization will also develop a communications strategy for the overall organization rather than only for specific projects.

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  • Another important benefit is associated with the creation of multidimensional network effects due to the new possibilities of product creation in the clouds, that is between companies exploiting in different ways the potentialities of cloud com- puting through the same platform or different ones. This is related to another new possibility, the rapid adoption of changes: it is not uncommon, that applications in the clouds are modified on a daily base (to accommodate new requirements, or en- able new economic venues), which is impossible with on-premise solutions.

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  • We use data from the Expenditure and Food Survey (EFS), which is administered every year in the UK. The annual sample includes between six and seven thousand households. For each household, an initial interview collects detailed demographic information. Immediately after the interview, each household member starts a expenditure diary, in which they record everything they buy during the next fourteen days. Diary expenditures are aggregated to “diary weeks” in the data, for reasons of confidentiality, resulting in two seven-day aggregates of expenditure for each individual.

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