Part IV Enterprise Data Management in .NET

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Like other properties already mentioned, the num_queries property is useful for debugging. It tracks the number of actual (not cached) queries that have been executed up to the moment it is called within WordPress. At initialization, this is 0 but it is incremented with every real SQL query.
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errors per block. It can be seen in the gure that the use of error-correction coding has very little effect on the achievable throughput in slow Rayleigh fading. The reason for this is that when the fade durations are long relative to the code block length, errors within a code block are highly correlated and thus bursty, rendering the error-correction coding ineffective [Lev76, Eav77]. Figure 11.43 is similar to Fig. 11.42, but now with 16-bit packets coded into length-31 or length-63 BCH code blocks. Again, error-correction coding provides a minimum bene t in slow Rayleigh fading. We can conclude from Figs. 11.38 to 11.43 that the major in uence on throughput for slotted ALOHA in slow Rayleigh fading comes from the spatial distribution of user terminals in the network or, equivalently, from the choice of a power-control scheme. Throughput of a CSMA Channel and the Capture Model. With PC (k) the probability that the test packet survives with k interfering packets, the throughput of a nonpersistent CSMA system with perfect acknowledgments on channels with capture is given by Zdunek et al. [Zdu89] as
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SQL Server utilizes two authentication modes for users: SQL Server accounts and Windows accounts. For SQL Server to authenticate, accounts may be created and managed within SQL Server. These accounts are valid only for access to SQL Server and provide no network access. Windows-based accounts are created for access to the network and may be used to provide access to SQL Server. Enabling both methods to access SQL Server is called mixed mode. Table 4-3 summarizes the two authentication modes.
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We aim for a P2P based knowledge management approach that integrates the advantages of Semantic Web-based knowledge management technology developed in successful IST projects like On-To-Knowledge, KnowNet, or Comma. Figure 14.1 illustrates the intended advantages. It depicts a qualitative comparison of bene ts (time saved or redundant work avoided expressed
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Use the drop-down menu provided to select the correct time zone, as shown in Figure 1-16.
An ideal database maintenance plan includes the following functions in the following order: Consistency checks: DBCC CheckDB and DBCC CleanTable(table) for tables that experience heavy text updates, DBCC CheckCatalog, DBCC CheckConstraints, and DBCC CheckIdent for database structure integrity. Updating the index statistics. Defragmenting the database. Rebuilding the indexes. Backups: A strategic backup plan includes a mix of full, differential, and transaction log backups of the system databases and all significant user databases. Checking the file sizes and free disk space. These maintenance tasks can be automated in SQL Server Agent jobs.
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In a P2P setting, ontologies will have to be obtained with no or very little human intervention (e.g. by scraping ontologies from existing resource structures such as le hierarchies, mail folders, etc.). These ontologies will therefore not be of the same high quality as current human-engineered ontologies, and many of the relationships in an ontology will be incomplete or even incorrect. For instance, sub-class de nitions will not be precise or instances will sometimes be miss-classi ed. As a result, many (if not all) of the existing inference techniques fail to produce useful results on such sloppy ontologies. Even a single miss-classi ed instance is suf cient to invalidate a sub-class relationship, and even one wrong value for a single attribute is suf cient to make a class inconsistent. Example: Investment Analysis. An investment analyst in the TIME market may erroneously mis-classify information about the Danish company Excel Data into the category Spreadsheet Software . Complementary knowledge may describe that Excel Data is a company and, therefore, the logical theory becomes inconsistent leading in the logical worst case to arbitrary answers to any question, for example, that Bill Gates is a product. What is needed in a P2P setting are more robust forms of reasoning that can cope with limited amounts of incompleteness and inconsistencies. Such robust inference techniques will be able to identify when a sub-class relationship almost holds (even though a few instances may be mis-classi ed), or when an ontology is almost consistent (by ignoring a few local inconsistencies). Continuing our example, the mis-classi cation of Excel Data and corresponding inconsistencies must be contained in small niches. Then wrong answers about Excel Data will be given, but Bill Gates will still be known as founder of Microsoft. Existing work in the eld of knowledge representation on approximate inference (e.g. Cadoli and Schaerf, 1995; Dalal, 1996) and local containment of inconsistencies (Wasserman, 2000) is expected to provide the required framework to tackle the problem of reasoning with sloppy ontologies. 14.4.2.4 Handling Ontological Drift Ontological drift is a natural phenomenon that appears in almost every domain. Example: Investment Analysis. Notions about the capabilities of software and hardware have changed tremendously in the TIME market within a few years. eCommerce rst almost exclusively referred to business-to-consumer
to reach from PC to keyboard (the usual recommended maximum is 50 feet, but shorter cables are less expensive)
The behavior of each portfolio is simulated over the entire period, with the average returns shown in Table 24.2 along with the ending value of $100 invested at the beginning. Clearly, the higher
The main advantage of the new groups functionality is that each member within the group is automatically trimmed to other members of the group, and the control of gaps within or between groups. The only trimming you need to take care of separately is the trimming between members of different groups.
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elcome to the SolidWorks 2007 Bible. This book has been written as a desk reference for beginning and intermediate SolidWorks users. SolidWorks is such an immense software program that trying to cover all of its functions is an extremely ambitious undertaking, and I know that a few have been left out. Because of the scope of the topic, I have limited the book to covering the basic SolidWorks package, without the Office, Office Professional, or Office Premium add-ins, although I have devoted half of a chapter to Toolbox. You will find enough information here that the book can grow with your SolidWorks needs. I have written tutorials for most of the chapters with newer users in mind, because for them it is most helpful to see how things are done in SolidWorks step by step. The longer narrative examples give more in-depth information about features and functions, as well as the results of various settings and options. I have included an extensive appendix covering the Tools, Options settings. This offers an in-depth explanation of each option, including both System Options and Document Properties. This appendix uses special symbols to identity items that are new for SolidWorks 2007 or that affect file size or speed.
Appendixes
The least restrictive isolation level is read uncommitted, which doesn t prevent any of the transactional faults. It s like having no fence at all because it provides no isolation between transactions. Setting the isolation level to read uncommitted is the same as setting SQL Server s locks to no locks. This mode is best for reporting and data-reading applications. Because this mode has just enough locks to prevent data corruption, but not enough to handle row contention, it s not very useful for databases whose data is updated regularly.
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