Premium Aggregate Component
via SSIS Productivity Pack
Aggregate input columns and group them to a dataset with Premium Aggregate component, found within the SSIS Productivity Pack.
What other applications can you sync with Premium Aggregate?
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Data Integration Made Easy
Premium Aggregate Component
The Premium Aggregate component is a data flow transformation component that can be used to perform an aggregate operation on the input columns and group them to a dataset.
With Premium Aggregate component, developers gain advanced SSIS functionality not found in the out-of-the-box version of the software.
The Premium Aggregate component is part of the SSIS Productivity Pack
Premium Aggregate Component
is available in the
SSIS Productivity Pack
Premium Aggregate: Data Integration Made Easy
Our solution is easy to use, offering code-less integration between the Premium Aggregate components and virtually any other application or database system. Our solution is built utilizing Microsoft SQL Server Integration Services (SSIS), a performant and flexible ETL platform, allowing your team to take advantage of the technologies and skills they already have. The drag-and-drop user interface makes it easy to set up powerful integration within a matter of minutes.
Our Premium Aggregate component is available within the Premium Data Flow components of our SSIS Productivity Pack, a large collection of premium and unique ETL tools to enable greater development productivity. We also offer several additional connectivity solutions to easily integrate Premium Aggregate with applications such as Microsoft Dynamics 365, SharePoint, Salesforce, and many more.
See our full product offerings for more information.
More Premium Data Flow Components
Our Premium Data Flow components make it easy to integrate with different services within the ETL process. Each component available has been specifically developed to expand and enhance data migration and integration processes. In addition to Premium Aggregate, the Premium Data Flow components include: