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Integration Services Transformations

SQL Server Integration Services transformations are the components in the data flow of a package that aggregate, merge, distribute, and modify data. Transformations can also perform lookup operations and generate sample datasets. This section describes the transformations that Integration Services includes and explains how they work.

The following transformations perform business intelligence operations such as cleaning data, mining text, and running data mining prediction queries.

Transformation

Description

Slowly Changing Dimension Transformation

The transformation that configures the updating of a slowly changing dimension.

Fuzzy Grouping Transformation

The transformation that standardizes values in column data.

Fuzzy Lookup Transformation

The transformation that looks up values in a reference table using a fuzzy match.

Term Extraction Transformation

The transformation that extracts terms from text.

Term Lookup Transformation

The transformation that looks up terms in a reference table and counts terms extracted from text.

Data Mining Query Transformation

The transformation that runs data mining prediction queries.

DQS Cleansing Transformation

The transformation that corrects data from a connected data source by applying rules that were created for the data source.

The following transformations update column values and create new columns. The transformation is applied to each row in the transformation input.

Transformation

Description

Character Map Transformation

The transformation that applies string functions to character data.

Copy Column Transformation

The transformation that adds copies of input columns to the transformation output.

Data Conversion Transformation

The transformation that converts the data type of a column to a different data type.

Derived Column Transformation

The transformation that populates columns with the results of expressions.

Export Column Transformation

The transformation that inserts data from a data flow into a file.

Import Column Transformation

The transformation that reads data from a file and adds it to a data flow.

Script Component

The transformation that uses script to extract, transform, or load data.

OLE DB Command Transformation

The transformation that runs SQL commands for each row in a data flow.

The following transformations create new rowsets. The rowset can include aggregate and sorted values, sample rowsets, or pivoted and unpivoted rowsets.

Transformation

Description

Aggregate Transformation

The transformation that performs aggregations such as AVERAGE, SUM, and COUNT.

Sort Transformation

The transformation that sorts data.

Percentage Sampling Transformation

The transformation that creates a sample data set using a percentage to specify the sample size.

Row Sampling Transformation

The transformation that creates a sample data set by specifying the number of rows in the sample.

Pivot Transformation

The transformation that creates a less normalized version of a normalized table.

Unpivot Transformation

The transformation that creates a more normalized version of a nonnormalized table.

The following transformations distribute rows to different outputs, create copies of the transformation inputs, join multiple inputs into one output, and perform lookup operations.

Transformation

Description

Conditional Split Transformation

The transformation that routes data rows to different outputs.

Multicast Transformation

The transformation that distributes data sets to multiple outputs.

Union All Transformation

The transformation that merges multiple data sets.

Merge Transformation

The transformation that merges two sorted data sets.

Merge Join Transformation

The transformation that joins two data sets using a FULL, LEFT, or INNER join.

Lookup Transformation

The transformation that looks up values in a reference table using an exact match.

Cache Transform

The transformation that writes data from a connected data source in the data flow to a Cache connection manager that saves the data to a cache file. The Lookup transformation performs lookups on the data in the cache file.

Balanced Data Distributor Transformation

The transformation distributes buffers of incoming rows uniformly across outputs on separate threads to improve performance of SSIS packages running on multi-core and multi-processor servers.

Integration Services includes the following transformations to add audit information and count rows.

Transformation

Description

Audit Transformation

The transformation that makes information about the environment available to the data flow in a package.

Row Count Transformation

The transformation that counts rows as they move through it and stores the final count in a variable.

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