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For detailed information about any of these tasks, run the command at a command prompt with the / parameter. For example, to view detailed information about creating a new task, you would run the following command:

3:

Technical as it may sound, ASCII is really very simple. It assigns a specific number to each of the 128 characters it recognizes as valid. For example, the ASCII code number for the capital letter A is 65; for a period, it is 46, and for a lowercase a, it is 97. The transmitting computer simply translates everything it is sending into this ASCII code, and as long as the receiving computer can "understand" ASCII, and no non-ASCII characters are included, everything is OK. Communication is assured and, using ASCII as a common language, the computers can send and receive information at very fast speeds.

SchTasks.exe /Create /

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18. Click OK to close the Column Mappings dialog box, click Next, and then click Finish twice. When processing has finished, click Close. Now data is in My Simple Database. The time dimension table, My First Cube.Date, was populated with data by the Schema Generation Wizard automatically. Then, you created two export jobs which loaded My First Cube.Product and My First Cube.Sales with data from similar tables in the SSAS Step by Step DW database. However, this data has not yet been loaded into the cube. You ll complete that goal in the next procedure.

To create a new task named Launch Notepad that runs hourly (starting now) with the current user s credentials, you could use the following command:

SchTasks.exe /create /sc hourly /tn "Launch Notepad" /tr Notepad.exe SUCCESS: The scheduled task "Launch Notepad" has successfully been created.

Processing a dimension and processing a cube are two separate tasks. When you process a dimension, Analysis Services reads in the information from the dimension tables and constructs a map of the dimension based on each attribute. Within the map, each value in a dimension column is an attribute member which is stored in a two-level attribute hierarchy for the dimension. For example, suppose that Washington and Oregon are members of the State attribute in the Geography dimension. The map stores these members in the State attribute hierarchy like this: All Washington and All Oregon. By storing each member of an attribute hierarchy in two levels in the dimension map, Analysis Services can use the map to quickly find relationships between members when you query the cube. Of course, the dimension map is compressed and very efficient. When you process a cube, Analysis Services first combines the dimension maps from all the dimensions used in the cube into a multidimensional cube map. It then reads the detail records from the fact table, storing detail values in a data storage area. The data storage area is efficiently organized and does not take up any room for key combinations that do not contain a value.

To delete the same task, you would run the following command:

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