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The data loads must continue to run as planned, and each load must have a quality assurance step to monitor the data s accuracy Most successful data warehouses generate a need for more data, more reference data, and the inclusion of more sources Adding new data sources is usually done by creating a new project and following the principles discussed throughout this book More time and energy are needed to maintain the data that you have already started with Once the ETL system is developed, it should not be moved into production to simply run for the next ve years Changes and tweaks will always be made to the underlying source systems This can affect what ows to the ETL system It may be small changes that have minimal impact, but sometimes signi cant changes are required to the ETL processing These changes are often the result of modi cations to the underlying source systems Examples of source system changes that impact the ETL system include the following: Changes to how data elements are used For example, if there is a change to how pricing is performed, the data may be stored in all the same elds as before, but the contents may now contain pricing tiers, rather than an actual price Modi cations to key identi ers, such as changing all of the customer IDs The addition of new functionality that introduces new data This is usually done via a major enhancement to a system to add screens for additional input or the development of new modules Expansion of reference data to enable new and improved values for example, adding more transaction types to be more speci c about what business transaction occurred Changes to the underlying systems are made both to correct problems and to provide support for new features that are needed by the business Because the data warehouse often deals with multiple source systems, a steady stream of changes is usually occurring to keep the existing ETL system working Communication with each of the source system development teams can help ensure that the data warehouse is aware of the changes that are coming Even the most diligent and cooperative source system teams can forget about the data warehouse at imes You need to be proactive with your communication so that everybody has a good understanding of what they are working.

Building a Class That Uses a DataTable to Support Types Using a DataTable to support types provides a data-centric approach to managing all the types in your application Each valid type is de ned as a row in the DataTable Using a DataTable can provide better performance when there are large numbers of valid types, because t does not require creating individual objects for each type. In Visual Studio .NET Using Barcode creator for VS .NET Control to generate, create barcode image in .Related: ISBN Generator .NET , Intelligent Mail Generation .NET

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Visual Basic's runtime is apartment thread safe, but it is not safe for use in a free threaded (MTA) environment Apartment thread safety is actually very easy to achieve VB gives every apartment its own set of global data Since no data is shared across apartments, there is no chance that different threads will wreak havoc by accessing the same data at the same time In an STA environment, using thread-global data instead of process-global data is sufficient to ensure data integrity because, by definition, an object in an STA runs code only in the thread on which it was created The thread-global data also makes cross-thread interaction almost nonexistent Each thread has its own set of data, so there is no need for threads to wait in line (or synchronize) reads and writes of global data To create separate blocks of global data for each thread, VB leverages the Win32-provided Thread Local Storage (TLS) APIs: TlsAlloc, TlsGetValue, TlsSetValue, and TlsFree With TLS, each thread allocates memory for its own threadspecific data and uses TLS indices to store and retrieve the memory for individual threads TlsAlloc is called once to retrieve a process-global index, which is a slot for placing thread-specific data Each thread uses TlsSetValue and TlsGetValue against global TLS slots to set and retrieve thread-specific data Obviously, TlsSetValue must be set for each thread before TlsGetValue can return valid data The VB untime relies heavily on TLS to support apartment threading TLS slots are used to store both thread-global and project-specific data Without TLS, the only things the runtime does well are Beep and crash With the diminished runtime capacity comes the inability to use error trapping, file I / 0 , the Set statement, method calls, Declare functions, fixed-size arrays, and so on In fact, the.

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The standard library relies heavily on iterators to make its algorithms data-structure independent Iterators are an abstraction of pointers, in that they provide operations that allow access to container elements analogous to what pointers allow on array elements The standard algorithms are written to assume that iterators meet requirements that the library classifies into iterator categories Every library algorithm that uses iterators of a particular category can work with every library- or user-defined class that provides iterators that fall into that category Output: It is possible to use the iterator to advance through the container one element at a time, and to write each element visited once and only once Example: Class ostream_iterator is an output iterator; and the copy algorithm requires only the output-iterator properties for its third argument Input: It is possible to use the iterator to advance through the container one element at a time, and to read each element as often as needed before advancing to the next element Example: Class istream_iterator is an input iterator, and the copy algorithm requires only input-iterator properties for its first two arguments Forward: It is possible to use the iterator to advance through the container one element at a time, to revisit elements to which previously remembered iterators refer, and to read or write each element as often as needed Example: replace is an algorithm that requires forward-iterator properties Bidirectional: It is possible to use the iterator to move through the container one element at a time, either forward or backward Example: list and map provide bidirectional iterators, and reverse is an algorithm that requires bidirectional iterators Random access: It is possible to move through the container using all the operations supported by pointers Example: vector, string, and built-in arrays support random-access iterators The sort algorithm requires random-access iterators All iterator categories support testing for (in)equality Random-access iterators support all the relational operations Iterator categories can be thought of as cumulative, in the sense that every forward iterator is also an input iterator and an output iterator, every bidirectional iterator is also a forward iterator, and every random-access iterator is also a bidirectional iterator Thus, any algorithm that accepts any iterator type as an argument will accept a random-access iterator Class ostream_iterator and the insert iterator adaptors provide output iterators, and thus can be used only by algorithms that require only output-iterator operations All iterators support the following operations: ++p p++ Advances p to the next position in the container ++p returns p as an lvalue after advancing it; p++ returns a copy of p's previous value *p The element to which p refers For output iterators, *p may be used only as the left operand of =, and each distinct value of p may be used in this way only once For input iterators, *p may be used only for reading; and the act of incrementing p invalidates all copies that might have been made of p's previous value For all other iterator types, *p yields a reference to the value stored in the container element to which p refers, and p remains valid as long s the element to which p refers continues to exist p == p2 Yields true if p is equal to p2; false otherwise p != p2.

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