If you're dependent on multiple search engines, you may run into compatibility issues. Yandex for example requires some properties that aren't required for Google. So keep in mind that search engines may want to see different, or more complete data. It doesn't hurt to include more data; t...
An introduction to structured data markupVertommen, Kevin
Because the structured mesh can handle cells with very high aspect ratio cells in the boundary layer, it has superior accuracy for viscous calculations. An example of structured mesh is depicted in Fig. 5. Sign in to download hi-res image Fig. 5. Structured mesh on a 2D airfoil [76]. ...
Figure 2.2 shows an example of an IP packet and payload captured in a target memory dump. Sign in to download full-size image Figure 2.2. IP packet in memory with source IP address 172.16.157.136 (ac 10 9d 88), destination IP 172.16.157.1 (“AC 10 9D 01”) starting at offset 0x0...
That’s a great example of a simple array. But there will be times when we have to create complex arrays. For instance, Go Fish Digital has two different locations. How would we create an array for that?It’s not all that complex if we break it down. After the North Carolina ...
The data_type can be datetime, string, url or custom. The check_function should be either one of the available functions, or your own custom function. An example: "date_compare": { "data_type": "datetime", "check_function": "compare", "dependencies": [ "datetime_format_check" ], "...
Azure File Sync metadata database We'll use an example to illustrate how to estimate the amount of free space would need on your local disk. Let's say you installed your Azure File Sync agent on your Azure Windows VM, and plan to create a server endpoint on disk F. You have 1 millio...
Discover and alerts notify of a potential issue before it occurs; for example, an alert about a lower number of staff hours could warn of a decrease in closed deals. You could also use diagnostic data analytics to “discover” information, such as the most-qualified candidate for a new posi...
preparation process is that they and other end users can focus more ondata miningand data analysis -- the parts of their job that generate business value. For example, data preparation can be done more quickly, and prepared data can automatically be fed to users for recurring analytics ...
Data-Intensive Computing 8.1.2 Challenges ahead The huge amount of data produced, analyzed, or stored imposes requirements on the supporting infrastructures and middleware that are hardly found in the traditional solutions for distributed computing. For example, the location of data is crucial as the...