Fuzzy Lookup .Exe And Run#

After you have downloaded the installation file, you need to open it and install following instructions. If youвЂ™ve done everything right, a new ribbon wil appear that contains only one option will appear Fuzzy Lookup This Excel add-in compares data in structured tables.For more detailed information about the Fuzzy Lookup transformation, including performance and memory limitations, see the white paper, Fuzzy Lookup and Fuzzy Grouping in SQL Server Integration Services 2005.Download Fuzzy Lookup Add In. It can be used to identify fuzzy duplicate rows within a single table or to fuzzy join similar rows between two different tables.In the menu below, select the COM Add-Ins option, and then in the window that appears, select the option to activate. Excel Details: The Fuzzy Lookup Add-In for Excel was developed by Microsoft Research and performs fuzzy matching of textual data in Microsoft Excel. Download Fuzzy Lookup Add-In for Excel from Official.

The Lookup transformation uses an equi-join to locate matching records in the reference table. Download is done on this link, and after you install, should add it.The Fuzzy Lookup transformation differs from the Lookup transformation in its use of fuzzy matching. Fuzzy Lookup is an Excel add-in created by a Microsoft development team, and can be. As a result, you will get a new tab at the end of a Ribbon called Fuzzy Lookup and a button with.

If it fails, the Fuzzy Lookup transformation provides close matches from the reference table.To install and use Fuzzy Lookup Add-In for Excel, complete the following steps: Uninstall any previous versions of Fuzzy Lookup Add-In for Excel. First, the Lookup transformation tries to find an exact match. It can be used to identify fuzzy duplicate rows within a single table or to fuzzy join similar rows between two different tables.A Fuzzy Lookup transformation frequently follows a Lookup transformation in a package data flow. In contrast, the Fuzzy Lookup transformation uses fuzzy matching to return one or more close matches in the reference table.Download Fuzzy Lookup Add-In for Excel from Official Microsoft Excel Details: The Fuzzy Lookup Add-In for Excel was developed by Microsoft Research and performs fuzzy matching of textual data in Microsoft Excel.

Fuzzy Lookup .Exe And Run

However, the transformation requires at least one column match to be configured for fuzzy matching. The match between the value in an input column and the value in the reference table can be an exact match or a fuzzy match. The reference data source must be a table in a SQL Server database. - or - Save Setup.exe, right-click Setup.exe and Run As Administrator.The transformation needs access to a reference data source that contains the values that are used to clean and extend the input data.

The closer to 1 the threshold is, the more similar the rows and columns must be to qualify as duplicates. The similarity range is 0 to 1. The join-level similarity threshold is only available when the transformation performs a fuzzy match between columns in the input and the reference table. Tokenization is important because it defines the units within the data that are compared to each other.The similarity thresholds can be set at the component and join levels. The Delimiters property contains the default delimiters. If you set the maximum number of matches to a value greater than 1, the output of the transformation may include more than one row per lookup and some of the rows may be duplicates.The transformation provides a default set of delimiters used to tokenize the data, but you can add token delimiters to suit the needs of your data.

And Saint returns a low similarity score regardless of other matches. The confidence score assigned to a record depends on the other matching records that are returned. The confidence score is a measure of how likely it is that a particular value is the best match among the matches found in the reference table. The similarity score is a mathematical measure of the textural similarity between the input record and the record that Fuzzy Lookup transformation returns from the reference table. That is, you cannot specify a very close match at the component level unless the matches at the row or join level are equally close.Each match includes a similarity score and a confidence score. To satisfy the similarity that is specified at the component level, all rows must have a similarity across all matches that is greater than or equal to the similarity threshold that is specified at the component level.

The confidence score, also a decimal value between 0 and 1, indicates the confidence in the match. For example, if you are looking up the value Chapter 4, the returned results Chapter 1, Chapter 2, and Chapter 3 have a high similarity score but a low confidence score because it is unclear which of the results is the best match.The similarity score is represented by a decimal value between 0 and 1, where a similarity score of 1 means an exact match between the value in the input column and the value in the reference table. However, high similarity may not mean high confidence. Is high and the confidence in Saint is low. Appear in the reference table, the confidence in St.

Next, the transformation builds an index, called a match index, on the copy of the reference table. Running the Fuzzy Lookup TransformationWhen the package first runs the transformation, the transformation copies the reference table, adds a key with an integer data type to the new table, and builds an index on the key column. For example, helo is not matched with the value hello in a reference table when no other tokens are present in that column or any other column in the row.The transformation output columns include the input columns that are marked as pass-through columns, the selected columns in the lookup table, and the following additional columns:_Similarity, a column that describes the similarity between values in the input and reference columns._Confidence, a column that describes the quality of the match.The transformation uses the connection to the SQL Server database to create the temporary tables that the fuzzy matching algorithm uses. This can occur if the input value that is used in a lookup is a single, short word.

You can name the index and select the connection to the SQL Server database that saves the index.If the transformation saves the match index, the match index can be maintained automatically. To reuse the index, the lookup operations must be identical the lookup must use the same columns. If multiple Fuzzy Lookup transformations use the same reference table, they can all use the same index. If you choose to use an existing index, the index is created the first time that the package runs. If the reference table is static, the package can avoid the potentially expensive process of rebuilding the index for repeat sessions of data cleaning. The match index is a table in a SQL Server database.When the package runs again, the transformation can either use an existing match index or create a new index.

The transformation installs triggers on the reference table to keep the reference table and index table synchronized.Create a new index and save it, but do not maintain it.The GenerateAndMaintainNewIndex option installs triggers on the reference table to keep the match index table and the reference table synchronized. OptionCreate a new index, save it, and maintain it. You can specify how the transformation manages the match index.The following table describes the match index options. Maintaining the match index can save processing time, because the index does not have to be rebuilt when the package runs.

If the TRUNCATE TABLE command is used on the reference table, the reference table and the match index will no longer be synchronized and the Fuzzy Lookup transformation fails. All subsequent updates to the reference table will fail until you manually drop the triggers on the reference table.The SQL TRUNCATE TABLE command does not invoke DELETE triggers. If the match index table is deleted, the triggers on the reference table will not execute correctly.

Install Fuzzy Lookup