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All this says is that to generate the executable file eatlinux, we first need to have the file eatlinuxo The line is actually a dependency line written as it should be for inclusion in a make file In any but the smallest programs (such as this one) the linker will have to link more than one o file So this is probably the simplest possible sort of dependency: One executable file depends on one object code file If there are additional files that must be linked to generate the executable file, these are placed in a list, separated by spaces: linkbase: linkbaseo linkparseo linkfileo This line tells us that the executable file linkbase depends on three object code files, and all three of these files must exist before we can generate the executable file that we want Lines like these tell us what files are required, but not what must be done with them That's an essential part of the blueprint, and it's handled in a line that follows the dependency line The two lines work together Here's both lines for our simple example: eatlinux eatlinuxo gcc eatlinuxo -o eatlinux The second line is indented by custom The two lines together should be pretty easy to understand: The first line tells us what file or files are required to do the job The second line tells us how the job is to be done: in this case, by using gcc to link eatlinuxo into the executable file eatlinux Nice and neat: We specify which files are necessary and what has to be done with them The make mechanism, however, has one more very important aspect: knowing whether the job as a whole actually has to be done at all.

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All this says is that to generate the executable file eatlinux, we first need to have the file eatlinuxo The line is actually a dependency line written as it should be for inclusion in a make file In any but the smallest programs (such as this one) the linker will have to link more than one o file So this is probably the simplest possible sort of dependency: One executable file depends on one object code file If there are additional files that must be linked to generate the executable file, these are placed in a list, separated by spaces: linkbase: linkbaseo linkparseo linkfileo This line tells us that the executable file linkbase depends on three object code files, and all three of these files must exist before we can generate the executable file that we want Lines like these tell us what files are required, but not what must be done with them That's an essential part of the blueprint, and it's handled in a line that follows the dependency line The two lines work together Here's both lines for our simple example: eatlinux: eatlinuxo gcc eatlinuxo -o eatlinux The second line is indented by custom The two lines together should be pretty easy to understand: The first line tells us what file or files are required to do the job The second line tells us how the job is to be done: in this case, by using gcc to link eatlinuxo into the executable file eatlinux Nice and neat: We specify which files are necessary and what has to be done with them The make mechanism, however has one more very important aspect: knowing whether the job as a whole actually has to be done at all.

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For the first time it is possible to have users download from the Web and locally run a rogram written in a truly common programming language. These features of Java are certainly exciting; however, Java's fantastic potential is mitigated by serious security concerns. Security is always an issue when computers are networked. Realistically speaking, no. no. Bar Code Scanner In Java Using Barcode reader for . In practice, the goal of a security policy is to make such tradeoffs isely. One of the key selling points of Java is its use as a "cross-platform" language for creating executable content in the highly interconnected world of the Internet. Simply by using a Web browser, a Web surfer can take advantage of Java's cross-platform capability. Of course, the activity of locally running code created and compiled somewhere else has important security implications. These implications are one focus of this book. The same risks and benefits that apply to connecting to the Internet itself directly apply to using the Java language. As you will see, these concerns become particularly critical when "surfing the Web." The same technology that allows Java applets to enliven once-static Web pages also allows unscrupulous applet designers to invade an unsuspecting Java user's machine. With Java applets showing up everywhere, and many millions of people using Java-enabled browsers, it pays to know where you are pointing your browser.Related: 

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will see a reduction in data con icts in enterprise operations In addition, it will enable more cost ef cient data reconciliation processes and products, which in turn can extend the reach of the enterprise into increasingly marginal (low-volume) applications Basic to the data engineering discipline is the need to semantically characterize all classes of data relevant to the enterprise (all data that is passed system to system) through a formal process This process is practiced through various methods of formalization of metadata: for example, de nition of data elements, information modeling, and metamodeling It can be practiced at four levels 1 Unmanaged, Ad Hoc Data is de ned locally on the y 2 Systematic Data De nitions Data is de ned on an element-by-element basis This is basically the conduct of a data inventory, which is the necessary rst step to higher levels of data engineering In a bottom up fashion, data elements are rigorously de ned using a prescriptive process such as the International 11179 Standard Accuracy and synchronization with physical sources and instances of data are largely manually achieved, as is con guration control and governance supported by a variety of data repository types, such as databases and spreadsheets 3 Formalized Information Modeling Data accuracy and synchronization are achieved at a higher level of abstraction through information modeling of the underlying metadata Information modeling more fully describes data/metadata by describing the relationships between data elements as well as de ning the data elements themselves This increases the semantic content of the data enabling the interoperability of data by means of semantic mediation engines Con guration management at this level requires a more complex data repository to maintain the models as well as data element de nitions 4 Metadata-Driven Information Integration A model-driven architecture prevails for the enterprise Supported by both a design-time metadata repository and run-time integration engine, this level facilitates enterprise integration by application and system developers as well as during operations Both are achieved through extensive data engineering in a top down fashion such that metadata and information models are integrated through metamodeling and similar means Grid Engineering Grid engineering is the discipline that develops and evolves the smart grid architecture for an enterprise, consisting partially of adapting the generic SOA to speci cs of the enterprise This consists of selection of integration tools, processes, and standard protocols, such as the Web Services Description Language (WSDL) and Simple Object Access rotocol (SOAP) It also establishes the rules of engagement criteria for applications and systems to participate in the enterprise It also prescribes the method for integrating legacy systems and applications into the enterprise.

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