Trademarks: Wiley, Wrox, the Wrox logo, Programmer to Programmer, and related With the last release of SQL Server R2, the Microsoft SSIS team did. Table of Contents Introduction A systematic method Chapter 1 – Principles and Method of the Work Do not force, do. The article describe the ETL process of integration service. Learning objectives: 1 . Retrieve data from text file. 2. How to use temporary tables in SSIS. 3.
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Analysis Services integration with SharePoint SQL Server R2 introduces a new option to individually select which feature components to install. Professional Microsoft SQL Server Analysis Services with MDX shows readers how to build data warehouses and multidimensional. Since this book is about SQL Server Integration Services, you will get of the source code used in this book is available for download at goudzwaard.info
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You will have responsibility on the data and processing layer of the solution, which involves processing data — a lot of data — from several sources, and then either integrating systems, or maybe consolidating data for reporting. The project manager approaches you and says that the Vice President of Technology has asked the team to give him an estimate of the infrastructure needed.
Furthermore, the business owner wants a high-level overview of how the solution architecture will help the company achieve the business need most efficiently. The project manager also wants your thoughts on the best way to approach the solution, how the development should be coordinated between team members, and how deployment should be handled.
Where do you start? How should you approach the solution design with SSIS as the main technology? How should all the pieces work together? And, in fact, this whole book is about SSIS solutions to real-world requirements and challenges.
Before you dive into the technical challenges of a project, you must first step back and ensure that you are laying the right foundation. Jumping right in is tempting!
But resist the urge, because you want to and need to set the precedence and patterns for the solution upfront. This section launches you into the rest of the book, and shows how you can follow the chapters to build or redesign your SSIS solution. Problem Data and ETL projects have many challenges.
Some challenges relate to data, some to enterprise integration, some to project coordination, and some to general expectations. This section begins by looking at the bigger picture of data within an organization, but then quickly looks at ETL projects and SSIS packages and execution.
The problem is that it can still cause a ripple effect when you tie it into your environment. Or, you can have challenges caused by an unwieldy enterprise environment when you try to implement your solution. It grew into this twisted unorganized process because of poor planning, coordination, and execution. Departments hire their own technical people and try to go around IT. Project pressures such as time and budget cause designers to cut corners.
The core source data has been connected through so many precedence links that it takes more time and administrative and development overhead.
Systems at the source and in the middle of dependencies become un-replaceable because of the amount of effort that switching to a new system would take. Processes run at uncontrolled times, and may impact systems within the processes even during peak times, which affects work efficiency.
They may break processes, or cause data integration or reporting applications to be inaccurate. When they break, customer perception and employee efficiency are affected.
Micro Challenge: Data-Processing Confusion Another common problem with data processing is when the logic contained to process data is overly complicated and confusing.
Just like the macro enterprise problem, this problem usually is the result of changes over time where logic is modified and appended. Supporting the procedures is also very difficult because the logic is difficult to follow, and, many times, the developers or DBAs who wrote the code are unavailable. Overall, this type of process requires a lot of administration and wasted time spent on following and learning the process.
These kinds of packages have challenges similar to those of runaway stored procedures, such as troubleshooting and the learning curve required for the process. Figure shows the control flow of a package that has too many components to effectively manage. The SSIS designer is zoomed in at 50 percent to fit on the screen.
Chapter 1: SSIS Solution Architecture Figure The overly complex control flow shown in Figure is similar to an overly complex data flow, where too many components are used, thus making the development, troubleshooting, and support difficult to manage. In summary, both of these types of processes runaway procedures and unmanageable packages are very difficult to support, and not suited to team development, error handling, and scalability all of which are addressed in Chapter Problems with Execution and Troubleshooting A couple of other issues that often come up in an ETL or data-integration solution are poor process coordination and difficulty doing root cause analysis.
Figure 6 Chapter 1: SSIS Solution Architecture If you were to consider spending time trying to work through this output when trying to figure out what went wrong, then you should consider implementing a better execution and auditing structure.
The Wizard can quickly move data from a variety of source types to a variety of destination types, including text files and other SQL Server instances. It allows users to edit SSIS packages using a drag-and-drop user interface.
A scripting environment in which to write programming code is also available in the tool. A package holds a variety of elements that define a workflow. Upon package execution, the tool provides color-coded real-time monitoring. Tasks can reference the connection by its name, allowing the details of the connection to be changed or configured at run time.
Event handlers A workflow can be designed for a number of events in the different scopes where they might occur. In this way, tasks may be executed in response to happenings within the package — such as cleaning up after errors.
For example, this book does not show you how to create a database or walk you through the installation of SQL Server using the wizard. Instead, the author of the installation chapter may provide insight into how to use some of the more advanced concepts of the installation. The first ten chapters of the book are about administering the various areas of SQL Server, including the developer and business intelligence features.
Chapters 2 and 3 dive into best practices on installing and upgrading to SQL Server This chapter also describes some of the hidden tools you may not even know you have.
Once you know how to manage your SQL Server, you can learn in Chapter 5 how to automate many of the redundant monitoring and maintenance tasks. Chapters 6 and 7 cover how to properly administer and automate many tasks inside of the Microsoft business intelligence products, such as Integration Services and Analysis Services. Chapter 9 explains how to secure your SQL Server from many common threats and how to create logins and users.
Chapter 10 covers how to create a SQL Server project and do proper change management in promoting your scripts through the various environments.