## What is use of aggregate transformation in SSIS?

The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across.

### What is aggregate SSIS?

The Aggregate transformation is used to perform aggregate operations/functions on groups in a dataset. The aggregate functions available are- Count, Count Distinct, Sum, Average, Minimum and Maximum. The Aggregate transformation has one input and one or more outputs. It does not support an error output.

#### What are different types of transformations in SSIS?

Here is a list of the different types of transformations – enjoy!

- Non-Blocking Synchronous Streaming Transformations (Fastest)
- Non-Blocking Synchronous Row-Based Transformations (Fast)
- Semi-Blocking Asynchronous Transformations (Medium)
- Fully Blocking Asynchronous Transformations (Slowest)

**Is aggregation a transformation?**

Aggregator transformation is an active transformation. And it is used to perform calculations on the data such as sums, averages, counts, etc. The integration service stores the group of data and row data in the aggregate cache. The Aggregator Transformation is more beneficial in comparison to the SQL.

**How do I convert data to SSIS?**

To transform data-type according to destination. We need to add up a SSIS component i.e. Data Conversion in between of Source and Destination. So just drag and drop Data Conversion component to the Data Flow tab as shown in below image.

## What is multicast in SSIS?

Multicast Transformation in SSIS sends input data to multiple destination paths without applying any conditions or transformations. OR, Takes ONE Input and makes the logical COPY of data and passes the same data to multiple outputs. Then use SSIS Multicast Transformation to make two copies of the same data.

### What is the use of Lookup transformation in SSIS?

The Lookup Transformation in SSIS is a powerful and useful SSIS transformation to compare the source and destination data. It filters out the matched and unmatched data in the specified destinations.

#### What is data Transformation SSIS?

The SSIS transformations are the data flow components that are used to perform aggregations, sorting, merging, modifying, joining, data cleansing, and distributing the data. Apart from these, there is an important and powerful transformation in SSIS called Lookup transformation to perform lookup operations.

**What is Lookup transformation in SSIS with example?**

The Lookup Transformation in SSIS is a powerful and useful SSIS transformation to compare the source and destination data. It filters out the matched and unmatched data in the specified destinations. Let’s create the source table and insert data into it with the following queries.

**What is the default Behaviour of aggregator transformation?**

By default, the aggregator transformation treats null values as NULL in aggregate functions. But we can specify to treat null values in aggregate functions as NULL or zero.

## What is difference between aggregator and expression transformation?

Aggregator transformation is used to perform aggregate calculations such as sum,average,max min. If you compare with Expression transformation then the difference is that in the Expression transformation calculations are done by row by row whereas in Aggregator calculations are done for group.

### What is the use of data conversion in SSIS?

Data Conversion is a component of SSIS to convert data-type from one type to another type. Data Conversion means conversion of data-type of a column to another data-type before it reaches the destination of data-warehouse.

#### How does aggregate transformation work in SSIs basic mode?

It allows you to group your data based on values in your input columns. Aggregate Transformation in SSIS performs a function similar to the SQL Server Aggregate functions. The operations include the following: GROUP BY: Just like the GROUP BY Clause in SQL SELECT queries. COUNT: It will Count the number of values in this column.

**How is aggregation of data solved in SSIs?**

Aggregation of data can be solved with the Aggregate transformation in SSIS. The Aggregation transformation supports an input and multiple outputs, if different aggregations of the same source data would be needed at the same time.

**How to use aggregate transformation in SQL Server?**

We are going to use Aggregate Transformation to achieve this in SQL Server Integration Services. Create connection to Flat file by using Flat File Connection As shown. Here is sample data that I used in source flat file Bring Aggregate transformation to Data Flow Pane and then connect with Flat File Source.

## How to counteract the issue of blocking transformations in SSIs?

One of the more obvious and simple ways to counteract the inherent issues with blocking transformations in SSIS is to perform it in the data source, when you extract data. If you are reading from a database such as SQL Server or any other major RDBMS in the market, chances are you can aggregate your data in the data source query.