This book shows readers how to solve the most challenging applications of SQL Server Integration Services (SSIS). In particular, readers will learn how to:
- Design SSIS solutions for data cleansing, ETL, and file management
- Integrate data from a variety of data sources
- Solve common pitfalls involved with SSIS deployment
- Monitor SSIS performance
- Ensure performance of the deployed solution, and effectively handle unexpected system failures/outages
The book begins with an overview of SSIS architecture, describing the key frameworks that guide development of effective SSIS solutions: including data storage and extraction (ETL), deployment and management. The next set of chapters proceed to explore each of these areas in more detail, starting with effective management and extraction of source data, including data cleansing activities. The next set of chapters focus on dimension and fact table loading and dimensional cube processing. The final chapters address advanced data handling through scripting and best practices for ensuring the availability and performance of the deployed solutions.
In sum, this book will give readers the skills to design, build, deploy, and manage solutions to real-world problems that SSIS administrators and developers face day-to-day. The book's companion website will provide sample code and database scripts that readers can directly use.
- Design SSIS solutions for data cleansing, ETL, and file management
- Integrate data from a variety of data sources
- Solve common pitfalls involved with SSIS deployment
- Monitor SSIS performance
- Ensure performance of the deployed solution, and effectively handle unexpected system failures/outages
The book begins with an overview of SSIS architecture, describing the key frameworks that guide development of effective SSIS solutions: including data storage and extraction (ETL), deployment and management. The next set of chapters proceed to explore each of these areas in more detail, starting with effective management and extraction of source data, including data cleansing activities. The next set of chapters focus on dimension and fact table loading and dimensional cube processing. The final chapters address advanced data handling through scripting and best practices for ensuring the availability and performance of the deployed solutions.
In sum, this book will give readers the skills to design, build, deploy, and manage solutions to real-world problems that SSIS administrators and developers face day-to-day. The book's companion website will provide sample code and database scripts that readers can directly use.