Explain Copy column Transformation?
This component simply copies a column to another new column. Just like ALIAS Column in T-Sql.
Explain Data conversion Transformation?
This component does conversion data type, similar to TSQL function CAST or CONVERT. If you wish to convery the data from one type to another then this is the best bet. But please make sure that you have COMPATABLE data in the column.
What is Data Flow tab?
This is the tab where we do all the work related to ETL job. It is the tab in SSIS Designer where we can extract data from sources, transform the data and then load them into destinations.
What is the function of control flow tab in SSIS?
On the control flow tab, the tasks including dataflow task, containers and precedence constraints that connect containers and tasks can be arranged and configured.
What is the function of Event handlers tab in SSIS?
On the Event handlers tab, workflows can be configured to respond to package events.
For example, we can configure Work Flow when ANY task Failes or Stops or Starts ..
What is the function of Package explorer tab in SSIS?
This tab provides an explorer view of the package. You can see what is happening in the package. The Package is a container at the top of the hierarchy.
What is Solution Explorer?
It is a place in SSIS Designer where all the projects, Data Sources, Data Source Views and other miscellaneous files can be viewed and accessed for modification.
How do we convert data type in SSIS?
The Data Conversion Transformation in SSIS converts the data type of an input column to a different data type.
How are variables useful in ssis package?
Variables can provide communication among objects in the package. Variables can provide communication between parent and child packages. Variables can also be used in expressions and scripts. This helps in providing dynamic values to tasks.
Explain Aggregate Transformation in SSIS?
It aggregates data, similar you do in applying TSQL functions like Group By, Min, Max, Avg, and Count. For example you get total quantity and Total line item for each product in Aggregate Transformation Editor. First you determine input columns, then output column name in Output Alias table in datagrid, and also operations for each Output Alias in Operation columns of the same datagrid. Some of operation functions listed below :
• Group By
• Average
• Count
• Count Distinct : count distinct and non null column value
• Min, Max, Sum
In Advanced tab, you can do some optimization here, such as setting up Key Scale option (low, medium, high), Count Distinct scale option (low, medium, high), Auto Extend factor and Warn On Division By Zero. If you check Warn On Division By Zero, the component will give warning instead of error. Key Scale option will optimize transformation cache to certain number of key threshold. If you set it low, optimization will target to 500,000 keys written to cache, medium can handle up to 5 million keys, and high can handle up to 25 million keys, or you can specify particular number of keys here. Default value is unspecified. Similar to number of keys for Count Distinct scale option. It is used to optimize number of distinct value written to memory, default value is unspecified. Auto Extend Factor is used when you want some portion of memory is used for this component. Default value is 25% of memory.
Explain Data Mining query Transformation?
This component does prediction on the data or fills gap on it. Some good scenarios uses this component is:
1. Take some input columns as number of children, domestic income, and marital income to predict whether someone owns a house or not.
2. Take prediction what a customer would buy based analysis buying pattern on their shopping cart.
3. Filling blank data or default values when customer doesn’t fill some items in the questionnaire.
Explain Derived column Transformation?
Derived column creates new column or put manipulation of several columns into new column. You can directly copy existing or create a new column using more than one column also.
Explain Merge Transformation?
Merge transformation merges two paths into single path. It is useful when you want to break out data into path that handles errors after the errors are handled, the data are merge back into downstream or you want to merge 2 data sources. It is similar with Union All transformation, but Merge has some restrictions :
1. Data should be in sorted order
2. Data type , data length and other meta data attribute must be similar before merged.
Explain Merge Join Transformation?
Merge Join transformation will merge output from 2 inputs and doing INNER or OUTER join on the data. But if you the data come from 1 OLEDB data source, it is better you join through SQL query rather than using Merge Join transformation. Merge Join is intended to join 2 different data source.
This component simply copies a column to another new column. Just like ALIAS Column in T-Sql.
Explain Data conversion Transformation?
This component does conversion data type, similar to TSQL function CAST or CONVERT. If you wish to convery the data from one type to another then this is the best bet. But please make sure that you have COMPATABLE data in the column.
What is Data Flow tab?
This is the tab where we do all the work related to ETL job. It is the tab in SSIS Designer where we can extract data from sources, transform the data and then load them into destinations.
What is the function of control flow tab in SSIS?
On the control flow tab, the tasks including dataflow task, containers and precedence constraints that connect containers and tasks can be arranged and configured.
What is the function of Event handlers tab in SSIS?
On the Event handlers tab, workflows can be configured to respond to package events.
For example, we can configure Work Flow when ANY task Failes or Stops or Starts ..
What is the function of Package explorer tab in SSIS?
This tab provides an explorer view of the package. You can see what is happening in the package. The Package is a container at the top of the hierarchy.
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What is Solution Explorer?
It is a place in SSIS Designer where all the projects, Data Sources, Data Source Views and other miscellaneous files can be viewed and accessed for modification.
How do we convert data type in SSIS?
The Data Conversion Transformation in SSIS converts the data type of an input column to a different data type.
How are variables useful in ssis package?
Variables can provide communication among objects in the package. Variables can provide communication between parent and child packages. Variables can also be used in expressions and scripts. This helps in providing dynamic values to tasks.
Explain Aggregate Transformation in SSIS?
It aggregates data, similar you do in applying TSQL functions like Group By, Min, Max, Avg, and Count. For example you get total quantity and Total line item for each product in Aggregate Transformation Editor. First you determine input columns, then output column name in Output Alias table in datagrid, and also operations for each Output Alias in Operation columns of the same datagrid. Some of operation functions listed below :
• Group By
• Average
• Count
• Count Distinct : count distinct and non null column value
• Min, Max, Sum
In Advanced tab, you can do some optimization here, such as setting up Key Scale option (low, medium, high), Count Distinct scale option (low, medium, high), Auto Extend factor and Warn On Division By Zero. If you check Warn On Division By Zero, the component will give warning instead of error. Key Scale option will optimize transformation cache to certain number of key threshold. If you set it low, optimization will target to 500,000 keys written to cache, medium can handle up to 5 million keys, and high can handle up to 25 million keys, or you can specify particular number of keys here. Default value is unspecified. Similar to number of keys for Count Distinct scale option. It is used to optimize number of distinct value written to memory, default value is unspecified. Auto Extend Factor is used when you want some portion of memory is used for this component. Default value is 25% of memory.
Explain Data Mining query Transformation?
This component does prediction on the data or fills gap on it. Some good scenarios uses this component is:
1. Take some input columns as number of children, domestic income, and marital income to predict whether someone owns a house or not.
2. Take prediction what a customer would buy based analysis buying pattern on their shopping cart.
3. Filling blank data or default values when customer doesn’t fill some items in the questionnaire.
Explain Derived column Transformation?
Derived column creates new column or put manipulation of several columns into new column. You can directly copy existing or create a new column using more than one column also.
Explain Merge Transformation?
Merge transformation merges two paths into single path. It is useful when you want to break out data into path that handles errors after the errors are handled, the data are merge back into downstream or you want to merge 2 data sources. It is similar with Union All transformation, but Merge has some restrictions :
1. Data should be in sorted order
2. Data type , data length and other meta data attribute must be similar before merged.
Explain Merge Join Transformation?
Merge Join transformation will merge output from 2 inputs and doing INNER or OUTER join on the data. But if you the data come from 1 OLEDB data source, it is better you join through SQL query rather than using Merge Join transformation. Merge Join is intended to join 2 different data source.
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