SQL Server Integration Services Case Study (1 day)


SQL Server Integration Services is Microsoft's primary tool for ETL (Extract-Transform-Load) processing. This course is designed to show you how to apply your skills in SSIS to the challenge of loading a dimensional data model, with just the right amount of depth, within a single day.

The course is most suitable for developers that need to learn to work with the Microsoft BI platform or for existing SQL Server developers and DBAs that want to cross-train into BI work. The course can also help business analysts and project managers that need a solid understanding of the technologies involved. While not essential to complete the labs (as full detailed instructions are provided), some knowledge of T-SQL would be helpful.

The course starts by looking at what's involved in creating a data model that is suitable for analysis and reporting and provides a quick overview of dimensional modelling concepts. You'll learn about how to use the tools provided by SSIS to load a dimensional model, including loading facts and dimensions. You will learn how to implement slowly-changing dimensions and how to manage grain in fact tables. You'll also learn how to optimise the performance of your ETL processing.

While our courses are based on SQL Server 2017, we realise that many customers are not yet running that version. Rather than provide you a course that only covers a single version of SQL Server, our courses are designed to be relevant (wherever possible) to a range of SQL Server versions including SQL Server 2008, SQL Server 2008 R2, SQL Server 2012, SQL Server 2014 and SQL Server 2016. Where there are differences between versions, the differences are clearly highlighted.

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DAY 1 IS301 SSIS CASE STUDY: DIMENSIONAL MODELLING CORE CONCEPTS
Why Implement Dimensional Models?
Fact Table Core Concepts
Dimension Table Core Concepts
Profiling Incoming Data
LAB: Dimensional Modelling Core Concepts
DAY 1 IS302 LOADING DIMENSION TABLES
Issues with Loading Dimension Tables
Implementing Slowly-Changing Dimensions
Implementing Inferred Members
Useful Additional Transformations
LAB: Loading Dimension Tables
DAY 1 IS303 LOADING FACT TABLES
Issues with Loading Fact Tables
Working with Granularity and Calculations
Useful Additional Transformations
LAB: Loading Fact Tables
DAY 1 IS304 DESIGNING FOR RELIABILITY AND PERFORMANCE
Designing for Reliability
Improving SSIS Package Performance
Incremental Data Loads
LAB: Designing for Reliability and Performance