Description
Welcome to the comprehensive course on Microsoft Business Intelligence (MSBI) and SQL Server Integration Services (SSIS)! This course is designed to equip you with the knowledge and skills necessary to effectively manage and transform data using MSBI and SSIS. Whether you’re a beginner or looking to deepen your understanding of SSIS, this course covers a broad range of topics to help you master these powerful tools.
Section 1: Learn MSBI and SSIS
In this section, students will be introduced to Microsoft Business Intelligence (MSBI) and SQL Server Integration Services (SSIS). The section begins with an overview of SSIS, explaining its importance in data integration and workflow automation. Students will learn how to open SSIS and SQL Server Management Studio (SSMS), and gain an understanding of Connection Managers which are essential for establishing connections to data sources.
The course then dives into practical tasks starting with the Data Flow Task, which is the core component of SSIS for data transformation. Basic SQL tasks will be covered, followed by more advanced topics such as the Execute SQL Task. Students will also explore various SSIS transformations like Multicast, Conditional Split, Data Conversion, Derived Column, Lookup Transformation, Sort, Merge, and Merge Join.
By the end of this section, students will have a solid understanding of how to perform data transformations using SSIS, and will be equipped with the skills to handle complex data integration scenarios. The section concludes with an in-depth look at the Row Count and Script Component tasks.
Section 2: SSIS – SQL Server Integration Services
Building on the foundation laid in the first section, this section delves deeper into SSIS. Students will explore more advanced features and capabilities of SSIS, starting with a detailed overview of SSIS and its components. The use of aggregate data transformation support, including Count and CountDistinct, will be demonstrated.
The course covers database-to-database transformations and how to input data from a database to a text file. Students will learn to use the GroupBy, MaxMin, and Sum functions effectively. Other critical tasks such as auditing data flows, copying columns, data conversion, and derived columns will be explained in detail.
Special attention is given to various data transfer techniques, including Excel to database, OLEDB to Excel, and conditional splits. The section also covers the use of SSIS components like Merge, Merge Join, Multicast, Sort, Union All, and Data Viewers using different visual formats (Column, Grid, Histogram, and Scatter).
Advanced transformations such as Fuzzy Grouping, Fuzzy Lookup, Lookup Transformation, Percentage Sampling, Pivot, Row Sampling, Term Extraction, Term Lookup, and Unpivot are thoroughly explored. The practical applications of Execute SQL Tasks, File System Tasks, and Foreach Loop containers are also covered.
By the end of this section, students will have a comprehensive understanding of SSIS and its advanced features, enabling them to implement complex data integration and transformation tasks efficiently.
Conclusion
The course concludes by reinforcing the knowledge and skills acquired in both sections. Students will be confident in using MSBI and SSIS for various data integration and transformation tasks, ranging from basic SQL tasks to advanced data manipulation and transformation techniques. This comprehensive understanding of SSIS will empower students to handle real-world data integration challenges effectively, making them proficient in MSBI and SSIS.
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