標(biāo)題: Titlebook: Pro SQL Server 2008 Analysis Services; Philo Janus,Guy Fouché Book 2009 Philo Janus and Guy Fouche 2009 Microsoft SQL Server.SQL.SQL Serve [打印本頁(yè)] 作者: Baleful 時(shí)間: 2025-3-21 18:47
書(shū)目名稱Pro SQL Server 2008 Analysis Services影響因子(影響力)
書(shū)目名稱Pro SQL Server 2008 Analysis Services影響因子(影響力)學(xué)科排名
書(shū)目名稱Pro SQL Server 2008 Analysis Services網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Pro SQL Server 2008 Analysis Services網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Pro SQL Server 2008 Analysis Services被引頻次
書(shū)目名稱Pro SQL Server 2008 Analysis Services被引頻次學(xué)科排名
書(shū)目名稱Pro SQL Server 2008 Analysis Services年度引用
書(shū)目名稱Pro SQL Server 2008 Analysis Services年度引用學(xué)科排名
書(shū)目名稱Pro SQL Server 2008 Analysis Services讀者反饋
書(shū)目名稱Pro SQL Server 2008 Analysis Services讀者反饋學(xué)科排名
作者: Chauvinistic 時(shí)間: 2025-3-21 22:48 作者: CRUDE 時(shí)間: 2025-3-22 03:23 作者: calorie 時(shí)間: 2025-3-22 07:34 作者: 驕傲 時(shí)間: 2025-3-22 09:30
Creating Dimensions,n names give us the nomenclature we’ll use to break down our data, attributes will give us additional information about the members, and the members themselves provide the semantic points against which our measure data will be arrayed. Finally, well-designed dimension and attribute relationships wil作者: 切割 時(shí)間: 2025-3-22 16:06
Building a Cube,e so far, we need to assemble the dimensions into a cube. That’s what we’re going to do in this chapter. In addition to building a cube from our dimensions, we’ll also look into calculated measures (deriving additional values from existing values), partitions (dividing data to ease management), and 作者: ADJ 時(shí)間: 2025-3-22 18:01
Deploying and Processing,er, we’re going to discuss what . actually means and the various ways of doing it. We’ll talk a bit about synchronizing databases between servers—similar to mirroring for transactional databases. Finally, we’ll talk about processing the various Analysis Services objects and how to schedule processin作者: intricacy 時(shí)間: 2025-3-22 21:43 作者: 輕觸 時(shí)間: 2025-3-23 02:37 作者: panorama 時(shí)間: 2025-3-23 05:59 作者: 破裂 時(shí)間: 2025-3-23 13:17
User Interfaces,r, most of our work has been in BIDS, which isn’t exactly a user-friendly front end. So how do we get the value of our OLAP solutions out to “the general population”? In this Chapter we’ll look at the various front ends we can leverage to display the data in our cubes.作者: Factorable 時(shí)間: 2025-3-23 15:53 作者: nonchalance 時(shí)間: 2025-3-23 19:02 作者: 不成比例 時(shí)間: 2025-3-24 01:27
Creating Dimensions,n names give us the nomenclature we’ll use to break down our data, attributes will give us additional information about the members, and the members themselves provide the semantic points against which our measure data will be arrayed. Finally, well-designed dimension and attribute relationships will ensure the scalability of our cube solutions.作者: CARE 時(shí)間: 2025-3-24 04:42
Building a Cube,e so far, we need to assemble the dimensions into a cube. That’s what we’re going to do in this chapter. In addition to building a cube from our dimensions, we’ll also look into calculated measures (deriving additional values from existing values), partitions (dividing data to ease management), and a deeper dive into aggregations and their design.作者: 治愈 時(shí)間: 2025-3-24 07:27
Deploying and Processing,er, we’re going to discuss what . actually means and the various ways of doing it. We’ll talk a bit about synchronizing databases between servers—similar to mirroring for transactional databases. Finally, we’ll talk about processing the various Analysis Services objects and how to schedule processing should you need to.作者: 傻 時(shí)間: 2025-3-24 12:30 作者: Firefly 時(shí)間: 2025-3-24 15:50 作者: BRINK 時(shí)間: 2025-3-24 20:38 作者: CBC471 時(shí)間: 2025-3-25 02:06
978-1-4302-1995-8Philo Janus and Guy Fouche 2009作者: Moderate 時(shí)間: 2025-3-25 04:36
Introduction to OLAP, is a technique for aggregating data to enable business users to dig into transactional data to solve business problems. You may be familiar with pivot tables from Microsoft Excel or other reporting solutions—for example, taking a list of order details (.) and creating a table that shows the total for each product ordered by month (.).作者: 咯咯笑 時(shí)間: 2025-3-25 07:59
Creating a Data Source View,Step 1: Get data. That’s what we have to do if we’re going to build a cube.作者: Horizon 時(shí)間: 2025-3-25 15:26
MDX,So, after eight Chapters of referring to Multidimensional Expressions (MDX), you finally get to find out what those expressions actually are. Just as SQL is a structured query language for returning tabular results from relational databases, MDX is a query language for returning multidimensional data sets from multidimensional data sources.作者: Insul島 時(shí)間: 2025-3-25 17:56 作者: laceration 時(shí)間: 2025-3-25 21:58 作者: verdict 時(shí)間: 2025-3-26 01:11
the data accessible to business users, instead of needing to.Every business has reams of business data locked away in databases, business systems, and spreadsheets. While you may be able to build some reports by pulling a few of these repositories together, actually performing any kind of analysis o作者: BRAVE 時(shí)間: 2025-3-26 07:42
Book 2009y pulling a few of these repositories together, actually performing any kind of analysis on the data that runs your business can range from problematic to impossible. .Pro SQL Server 2008 Analysis Services. will show you how to pull that data together and present it for reporting and analysis in a w作者: CHARM 時(shí)間: 2025-3-26 08:40 作者: Wernickes-area 時(shí)間: 2025-3-26 15:20 作者: 含糊其辭 時(shí)間: 2025-3-26 20:01
Don Passey,Angela Siew-Hoong Lees are monitored to analyze the efficiency of the system. The results show that prediction model achieved with CGPANN is computationally cost effective and accurate (98.85%) that is unique as it is dependent on least amount of previous data for future data prediction.作者: 演講 時(shí)間: 2025-3-26 22:03 作者: 消極詞匯 時(shí)間: 2025-3-27 04:06
Suicidal Behaviors in Youth with Foster Care Experiencech in this area would help us to cultivate a better understanding of protection for these youth and, more importantly, reduce the likelihood that youth with foster care experience will feel the need to end their lives.作者: Headstrong 時(shí)間: 2025-3-27 06:01
VerdeckungBeispiel wird deutlich, da? die Mith?rschwelle immer oberhalb der Ruheh?rschwelle liegt. Lediglich in Frequenzgebieten, in denen der St?rschall keine wesentlichen Frequenzkomponenten enth?lt, geht die Mith?rschwelle in die Ruheh?rschwelle über.作者: Asymptomatic 時(shí)間: 2025-3-27 12:24
proving the competitiveness of European industry and providing it with the technology needed for the 1990s. Esprit Project 623, on which most of the work presented in this book is based, was one of the key projects in the ESPRIT area, Computer Integrated Manufacturing (CIM). From its beginnings in 1作者: 防御 時(shí)間: 2025-3-27 17:25 作者: 輕快走過(guò) 時(shí)間: 2025-3-27 20:22
