SSIS Development

Using SSIS, MagnusMinds can help you implement an appropriate information management foundation that can deliver integrated, accurate, and timely data across your organization.

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SSIS development company
trusted for excellent solutions

SSIS is a data integration and workflow application framework. It includes a data warehousing tool for Extracting, Transforming, and Loading data (ETL).

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MagnusMind’s SSIS development team offers outsourced data processing services to its valuable clients. Apart from data migration solution automation and operationalization, the services include data architecting, data discovery from non-obvious sources, data integration from disparate, legacy, and non-standardized data sources, data standardization, and data normalization.

Our Expertise in SSIS Development:

  • Data can be extracted from a variety of Microsoft and non-Microsoft data sources, including SQL Server, Oracle, Teradata, text and XML/CSV files, ODBC, and OLE DB.
  • ETL packages can be integrated with on-premise file systems, FTP sites, and cloud storage.
  • Extensive experience dealing with vast amounts of unstructured data (weblogs, blog posts, documents, website content, etc.)
  • Large-scale data normalization and cleansing standardization expertise.
  • Expert at loading transformed data into relational databases and dimensional data warehouses/data marts.
SSIS Development

Services We Offer

Our SSIS Development Services is focused on providing outsourced data processing services for our valuable clients.

Data Integration
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Data
Cleansing
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Master Data Management
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Metadata Management
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Information Management
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Why Choose SSIS?

Efficiency

SSIS manages memory very efficiently, which can result in big performance improvements compared to T-SQL alone.
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Easy Transformation

The graphical interface of SSIS lets you build large, complex, and reliably transforms much more easily than hand-crafted T-SQL.
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Accessible

SSIS lets you more easily interact with additional external sources, which can be very handy for things like data cleansing. SSIS can handle data from heterogeneous data sources in the same package. Data sources can be diverse, including custom or scripted adapters.
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High Availability

SSIS has features like replication and gridFS. These features help to increase data availability in SSIS. Hence the performance is very high.
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