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Many organizations have realized the benefits of data warehousing and Online Analytical Processing (OLAP) technologies for analyzing vast amounts of data efficiently. In this chapter, we will see how Reporting Services can be integrated with OLAP applications to create versatile reporting solutions. Our discussion will center on the following topics: Overview of data warehousing and OLAP Using Microsoft Analysis Services cubes as data sources for standard reports Dynamic reporting using Microsoft Office Web Components Creating solutions with standard and dynamic reporting features

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To see a practical application, we will build a scaled-down OLAP-based solution to address the reporting needs of the Adventure Works business analysts. Powered with the Adventure Works Data Miner, our users will be able to analyze data from different angles for discovering trends and decision-making purposes.

File-trading utilities are often used to transfer copyrighted material Further, they could be used.

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One w ay t o put a connect ion t o use is t o em ploy it along w it h t he SqlCom m and and SqlDat aReader obj ect s A SqlDat aReader obj ect can m aint ain an open for ward- only, read- only connect ion w it h a SQL Ser ver dat abase While t he SqlDat aReader using a SqlConnect ion obj ect is open, you cannot use t he SqlConnect ion obj ect for any ot her purpose except t o close t he connect ion Closing a SqlDat aReader obj ect releases it s associat ed SqlConnect ion obj ect for ot her uses The SqlDat aReader class doesn t have a const ruct or st at em ent .

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The terms OLAP and data warehouse are often used interchangeably, although an important distinction exists. As its name suggests, a data warehouse can be simply described as a place that stores vast volumes of data. The term OLAP, on the other hand, represents the tools used to make the warehouse data available for fast retrieval and analysis. OLAP solutions facilitate data mining and reporting because they are designed to meet the following characteristics: Deliver a great user experience by allowing the users to easily slice and dice warehouse data Provide a central repository of consistent data Answer complex queries quickly Provide a variety of powerful analytical and reporting tools If you are currently reporting off OLTP databases, you may wonder at what point you need to consider switching to OLAP. The next section should make this clear.

to transfer Trojan horse software. 7: User Security Lesson 1: Understanding Authentication Exercise 1: Following a Cross-Realm Authentication In this exercise, place the steps in order as they would occur in the following scenario.

OLTP vs. OLAP While the process of generating reports from OLTP databases may be fine for small applications, it can quickly become inefficient and cumbersome as data grows both in size and complexity. In fact, there is a contradiction between OLTP systems that are designed for transactional efficiency and OLAP systems that are designed for efficient queries. Table 12.1 contrasts the design characteristics of these technologies.

Scenario: You are a user who has authenticated in one realm and you wish to access a service registered in another realm. 1. 1. The client contacts the RTGS and requests a session ticket to access the remote service. 1. 2. 2. The client contacts a TGS and requests a TGT for the remote realm. 2. 3. 3. The client accesses the service. 4. 4. The AS authenticates the client and provides the client with a TGT. 4. 5. 5. The client (user) sends a registration request to an AS. 5. 5, 4, 2, 1, 3 Exercise 2: Reviewing Kerberos Terminology In this exercise, match the terms in the left column with the correct definitions in the right column.

Table 12.1 OLTP vs. OLAP Warehouse Database Designed for data analysis Optimized for data retrieval and reporting Usually read-only data. New data is appended on a regular basis. May contain large volumes of data, often in the range of gigabytes or even terabytes Supports few concurrent users

OLTP Database Designed for real-time business operations Optimized for heavy transaction loads Volatile data Usually small in size Frequently supports many concurrent users

You declare t he SqlDat aReader obj ect w it h a Dim st at em ent and assign a result set from a SqlCom m and obj ect t o a SqlDat aReader wit h t he Ex ecut eReader m et hod of t he SqlCom m and obj ect Finally, invoke t he SqlDat aReader obj ect Read m et hod t o open a r ow fr om t he result set in t he SqlDat aReader The SqlCom m and obj ect can ser ve m ult iple funct ions, including processing a TSQL st at em ent against a connect ion When used in t his fashion, t he SqlCom m and can t ake t wo argum ent s The first can be a T- SQL dat a access st at em ent , such as SELECT * FROM MyTable .

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