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good When you go the mechanic, he ll ask you a series of questions, writing down your answers as you talk Then he takes that information and physically inspects your vehicle, documenting the findings Finally, if he discovers the problem, he documents it and then researches and documents the solution Before he implements the solution, he ll want to talk to you to explain the details of the work that needs to be completed, as well as the cost Generally, he tells you what the problem is, and its solution, in the simplest terms possible He uses simple language in an attempt to convey the technical knowledge to you in a manner you ll understand, because he cannot assume that you have any knowledge about the inner workings of an automobile When you are meeting with stakeholders, you are the mechanic Just like a mechanic, you ll have to simplify the terms you re using, while avoiding making someone feel as though you are talking down to him Most importantly, you need to frame your entire explanation of the data model in terms of the larger system, and in terms of the business You need to relate your entities, attributes, and relationships to familiar terms such as customers and order processes This practice not only helps the stakeholders understand the model but also helps them see the value in the model as it relates to their business

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Normally each pipeline stage will correspond to one task Fig 426 shows the basic structure of each stage If the number of data elements to be processed is known in advance, then each stage can count the number of elements and terminate when these have been processed Alternatively, a sentinel indicating termination may be sent through the pipeline It is worthwhile to consider at this point some factors that affect performance

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pros and cons for each format and for each way of handling them We show all of them to help you make an informed decision on a case-by-case basis Binary formats are usually very fast to save and load and they can be very compact Binary data doesn t need parsing since each data type is stored using its natural representation Binary data is not human readable or editable, and without knowing the format in detail it is not possible to create separate tools to work with binary data Text formats are human readable and editable, and this can make text les easier to process with separate tools or to change using a text editor Text formats can be tricky to parse and it is not always easy to give good error messages if a text le s format is broken (eg, by careless editing) XML formats are human readable and editable, although they tend to be verbose and create large les Like text formats, XML formats can be processed using separate tools Parsing XML is straightforward (providing we use an XML parser rather than do it manually), and some parsers have good error reporting XML parsers can be slow, so reading very large XML les can take a lot more time than reading an equivalent binary or text le XML includes metadata such as the character encoding (either implicitly or explicitly) that is not often provided in text les, and this can make XML more portable than text les Text formats are usually the most convenient for end-users, but sometimes performance issues are such that a binary format is the only reasonable choice However, it is always useful to provide import/export for XML since this makes it possible to process the le format with third-party tools without preventing the most optimal text or binary format being used by the program for normal processing.

Format Binary Binary Binary Binary Plain text Plain text XML XML XML Reader/Writer Pickle (gzip compressed) Pickle Manual (gzip compressed) Manual Regex reader/manual writer Manual Element tree DOM SAX reader/manual writer Reader + Writer Lines of Code 20 + 16 20 + 16 60 + 34 60 + 34 39 + 28 53 + 28 37 + 27 44 + 36 55 + 37 Total Lines of Code = = = = = = = = = 36 36 94 94 67 81 64 80 92

Summary

Output File Size (~KB) 160 416 132 356 436 436 460 460 464

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