http://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&feed=atom&action=historyAddress Object:Best Practices - Revision history2024-03-29T14:29:27ZRevision history for this page on the wikiMediaWiki 1.37.2http://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=16957&oldid=prevAdmin at 16:28, 31 December 20192019-12-31T16:28:14Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the data by zip code prior to processing.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the data by zip code prior to processing.</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">You can refer to this page for more details on our speed test:</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">http://www.melissadata.com/ssis1/SSIS-Speed-Scenarios.pdf</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
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</table>Adminhttp://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=10581&oldid=prevAdmin at 20:01, 11 March 20162016-03-11T20:01:16Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==How can I speed up my address processing without any major restructuring of my program?==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==How can I speed up my address processing without any major restructuring of my program?==</div></td></tr>
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</table>Adminhttp://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=4821&oldid=prevAdmin at 17:51, 7 August 20142014-08-07T17:51:01Z<p></p>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>==<del style="font-weight: bold; text-decoration: none;">1. </del>How can I speed up my address processing without any major restructuring of my program?==</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>==How can I speed up my address processing without any major restructuring of my program?==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes sense to streamline lookups of your record by organizing the data before it's sent through our objects.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes sense to streamline lookups of your record by organizing the data before it's sent through our objects.</div></td></tr>
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</table>Adminhttp://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=3900&oldid=prevAdmin: Admin moved page Best Practices:Address API to Address Object:Best Practices without leaving a redirect2014-06-12T20:39:27Z<p>Admin moved page <a href="/index.php?title=Best_Practices:Address_API&action=edit&redlink=1" class="new" title="Best Practices:Address API (page does not exist)">Best Practices:Address API</a> to <a href="/index.php?title=Address_Object:Best_Practices" title="Address Object:Best Practices">Address Object:Best Practices</a> without leaving a redirect</p>
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<td colspan="1" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:39, 12 June 2014</td>
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</td></tr></table>Adminhttp://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=3529&oldid=prevAdmin at 19:35, 10 April 20142014-04-10T19:35:18Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:35, 10 April 2014</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==1. How can I speed up my address processing without any major restructuring of my program?==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==1. How can I speed up my address processing without any major restructuring of my program?==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes <del style="font-weight: bold; text-decoration: none;">sens </del>to streamline lookups of your record by organizing the data before it's sent through our objects.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes <ins style="font-weight: bold; text-decoration: none;">sense </ins>to streamline lookups of your record by organizing the data before it's sent through our objects.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the data by zip code prior to processing.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the data by zip code prior to processing.</div></td></tr>
</table>Adminhttp://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=3528&oldid=prevAdmin at 19:34, 10 April 20142014-04-10T19:34:40Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:34, 10 April 2014</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>==1. How can I speed up my <del style="font-weight: bold; text-decoration: none;">adderss </del>processing without any major restructuring of my program?==</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>==1. How can I speed up my <ins style="font-weight: bold; text-decoration: none;">address </ins>processing without any major restructuring of my program?==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes sens to streamline lookups of your record by <del style="font-weight: bold; text-decoration: none;">orgnizing </del>the data before it's sent through our objects.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes sens to streamline lookups of your record by <ins style="font-weight: bold; text-decoration: none;">organizing </ins>the data before it's sent through our objects.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the <del style="font-weight: bold; text-decoration: none;">dat </del>by zip code prior to processing.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the <ins style="font-weight: bold; text-decoration: none;">data </ins>by zip code prior to processing.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>You can refer to this page for more details on our speed test:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>You can refer to this page for more details on our speed test:</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Often, we see customers enabling CASS-required data files (DPV, LACSLink, and SuiteLink). If CASS reporting and processing is not a need, then do not initialize the DPV, LACSLink, or SuiteLink data files.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Often, we see customers enabling CASS-required data files (DPV, LACSLink, and SuiteLink). If CASS reporting and processing is not a need, then do not initialize the DPV, LACSLink, or SuiteLink data files.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>RBDI stands for Residential Business Delivery Indicator and is often used by shipping carriers who would like to identify <del style="font-weight: bold; text-decoration: none;">resedential </del>addresses to save them money from these deliveries. If identifying business and residential addresses is not a requirement, then do not initialize the RBDI data files.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>RBDI stands for Residential Business Delivery Indicator and is often used by shipping carriers who would like to identify <ins style="font-weight: bold; text-decoration: none;">residential </ins>addresses to save them money from these deliveries. If identifying business and residential addresses is not a requirement, then do not initialize the RBDI data files.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>SuiteLink and SuiteFinder are used to find missing suite and floor information for addresses and their corresponding company name or contact last name. If appending company suite information is not necessary, then do not initialize the SuiteLink data files. Also, if you don't plan on appending residential suite information, then do not initialize SuiteFinder data files.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>SuiteLink and SuiteFinder are used to find missing suite and floor information for addresses and their corresponding company name or contact last name. If appending company suite information is not necessary, then do not initialize the SuiteLink data files. Also, if you don't plan on appending residential suite information, then do not initialize SuiteFinder data files.</div></td></tr>
</table>Adminhttp://wiki.melissadata.com/index.php?title=Address_Object:Best_Practices&diff=2078&oldid=prevAdmin: Created page with "==1. How can I speed up my adderss processing without any major restructuring of my program?== There are a couple ways of achieving faster speeds when using our objects. B..."2013-05-28T19:45:23Z<p>Created page with "==1. How can I speed up my adderss processing without any major restructuring of my program?== There are a couple ways of achieving faster speeds when using our objects. B..."</p>
<p><b>New page</b></p><div>==1. How can I speed up my adderss processing without any major restructuring of my program?==<br />
<br />
There are a couple ways of achieving faster speeds when using our objects. Because our products deal with comparing against a large dataset, it makes sens to streamline lookups of your record by orgnizing the data before it's sent through our objects.<br />
<br />
We recommend organizing your data by zip code, to make the most of data caching. We have seen speeds increase from 71,706 records per hour up to 2,000,000 records per hour just by ordering the dat by zip code prior to processing.<br />
<br />
You can refer to this page for more details on our speed test:<br />
http://www.melissadata.com/ssis1/SSIS-Speed-Scenarios.pdf<br />
<br />
<br />
Another way of improving performance is to lower the number of data files being initialized and accessed.<br />
<br />
Often, we see customers enabling CASS-required data files (DPV, LACSLink, and SuiteLink). If CASS reporting and processing is not a need, then do not initialize the DPV, LACSLink, or SuiteLink data files.<br />
<br />
RBDI stands for Residential Business Delivery Indicator and is often used by shipping carriers who would like to identify resedential addresses to save them money from these deliveries. If identifying business and residential addresses is not a requirement, then do not initialize the RBDI data files.<br />
<br />
SuiteLink and SuiteFinder are used to find missing suite and floor information for addresses and their corresponding company name or contact last name. If appending company suite information is not necessary, then do not initialize the SuiteLink data files. Also, if you don't plan on appending residential suite information, then do not initialize SuiteFinder data files.<br />
<br />
Each data file contains at least 1Gb of data, and when all are enabled, can bog down the verification process because of the large number of data lookups.<br />
<br />
[[Category:Best Practices]]</div>Admin