Summing / Averaging a total of the products purchased by a customer online to produce the final amount.
2
Audit
For audit purpose, when we need to audit the logs to send to DBA’s for weekly or monthly auditing.
3
Character Map
For sending mails (do some manipulations) to the end users to do some formatting we can use this task.
4
Conditional Split
Morning feeds which we get from different systems need to be transferred to different tables based on the feed which we get so we can use this task to do some condition check.
5
Copy Column
Morning feeds which needs to be transferred to tables need to be scanned under for cleaning spaces, empty values etc then we can go with this task
6
Data Conversion
Daily monitoring of the input files and data to have proper datatype before mapping it to the table then we can use this task.
7
Data Mining Query
Evaluating the input data against the analysis model to get a proper set.
8
Derived Column
Adding a title of courtesy (Mr., Mrs., Dr, etc) before the name and removing the trailing and ending spaces.
9
Export Column
When we get the normal files/pdf files/image files from different systems and save it under a particular folder and map it to the table master
10
Fuzzy Grouping
Matching the name of a customer with master and child table and use it to group and get the desired set
11
Fuzzy Lookup
Matching the name of a customer with master and child table and use it to group and get the desired set
12
Import Column
When we get the normal files/pdf files/image files from different systems and save it under a particular folder and map it to the table master
13
Lookup
Employee table information saved in a master file and the region wise data available across the table which can be mapped and joined to perform a joined querying operation
14
Merge
Combine data from multiple data source like master and child employee table and get result in single dataset.
15
Merge Join
Combine data from multiple data source like master and child employee table and get result in single dataset. Can use any type of join like inner, outer, left , right etc
16
Multicast
Similar to the conditional split but this splits across all the parts
17
OLE DB Command
Used when we need to do updates to all the rows of a table like update If a message sent to the entire customer who have made a payment today.
18
Percentage Sampling
Can be used in cases like the package should have access to only limited data.
19
Pivot
When data fetched from the table and do some formatting to show in the front end we can use it.
20
Row Count
Any point to log the count of the number of customers so we can get the count using this
21
Row Sampling
Same as Percentage Sampling.
22
Script Component
Used for places where we need to use framework specific assemblies.
23
Slowly Changing Dimension
When we need to use some historic dimensions of data
24
Sort
To make some sorting to get the desired result. Sorting like customer who made the highest payment in a particular day.
25
Term Extraction
Used to get a data from a large set of data and get the extracted output in a formatted set.
26
Term Lookup
Used to get a data from a large set of data and get the extracted output in a formatted set.
27
Union All
Used to get data from different data sources and get in a single dimensional format.
28
Unpivot
Restructuring the format of the data for normalizing the input prior to loading.
Conclusion:
We have seen some real time examples for SSIS Transformations where we use the transformations, these are some of the real time usage which I came across.
