SQL Server Integration Services (SSIS) is a tool that we use to perform ETL operations; i.e. extract, transform and load data.
We will also sort out the various versions and name changes. For example, in SQL Server 2014 Microsoft decided to no longer include SQL Server Data Tools (Another Visual Studio shell for SSIS) as part of the normal install. This confused everyone. To make matters worse, you now download and install different tools depending on what you have already.
This course will provide you with a solid foundation of SQL Server Integration Services. We will cover everything from the designer to crafting high quality packages.
While ETL processing is common in data warehousing (DW) applications, SSIS is by no means limited to just Data warehousing approaches.
For example, when you create a Maintenance Plan using SQL Server Management Studio (SSMS) an SSIS package is created.
You'll learn all the vernacular associated with SSIS as well as all the core components.
We'll cover the package in detail. The package is the unit of work that is retrieved, executed, and saved.
At a high level, SSIS provides the ability to retrieve data from just about any source, perform transformations on data, covert data from one type to another, load data into just about any source and define complex workflows that move disparate data throughout any organization.
In this course you'll learn how to use SSIS to develop data integration, migration and consolation packages that you as a DBA or developer can use in any organization that has data.
In the course we will cover the integration with other SQL Server products like SSMS. SQL Server Management Studio provides the Integration Services service that you use to manage packages, monitor running packages, and determine impact and data lineage for Integration Services and SQL Server objects.
I look forward to seeing you in the course.
This is a brief introduction to the course.
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Microsoft really botched this one up. Let's find out the most recent name and location for SSDT.
In this lecture let's install SSDT.
Let's cover the interface we will be spending a lot of our time in.
It's very intuitively designed.
SSIS comes with an Import/Export wizard that assists you with crafting simple packages.
The foundation of our package will be built within projects.
These projects ride with solutions.
Let's cover that in detail in this brief lecture.
Let's learn the basics of tasks and use them to create a very simple SSIS package.
What does the service that runs SSIS really do?
Let's find out in this lesson.
Let's wrap up what we've covered in this section.
Let's go over some of the new vernacular associated with the SSIS environment.
The most famous and important of all tasks.
Let's cover what he does.
Let's walk through some of the task we use most often.
Some of them, like the data flow task you'll use on almost every single package.
Not my favorite task but it's there if we need it.
The Connection Manger is where we house our connections to the various data sources we use in our SSIS packages.
Let's look at the two places where we can view these connections.
Let's call a package from another package.
It's nice to have to create more complex workflows.
Let's discuss a way we can call other programs from within SSIS.
Easily one of my favorite tasks.
This one was way overdue and it's nice to have.
Having our SSIS packages communicate with us is nice.
We can also send out attachments.
This is a great task you'll use often.
Containers are a little more complex and require some additional configuration but their usefulness outweighs the added learning curve.
Let's wrap up what we've covered in this section.
Conditional split is used to route data rows to different outputs based on conditions. This is similar to CASE statement in programming languages.
The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output.
The Derived Column transformation creates new column values by applying expressions to transformation input columns.
In the current release of SQL Server Integration Services, the SQL statement in an Execute SQL task can contain a MERGE statement.
You use the OData Source component in an SSIS package to consume data from Open Data Protocol (OData) services.
Sometimes it's required to have multiple logical copies of source data of a single source table either for applying different transformation logic on each set or having each dataset for separate consumers, Multicast transformation helps to do this.
The dtexec command prompt utility (dtexec.exe) can be used to run a SSIS package.
To protect the data in an Integration Services package, you can set a protection level that helps protect just sensitive data or all the data in the package.
In this lesson let's walk through importing an excel spreadsheet into SQL Server.
Let's wrap up what we've learned in this section.
You've completed this course on the fundamentals of SSIS. Congratulations and thank you!!!
I've been a production SQL Server DBA most of my career.
I've worked with databases for over two decades. I've worked for or consulted with over 50 different companies as a full time employee or consultant. Fortune 500 as well as several small to mid-size companies. Some include: Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light and Northrup Grumman.
Experience, education and passion
I learn something almost every day. I work with insanely smart people. I'm a voracious learner of all things SQL Server and I'm passionate about sharing what I've learned. My area of concentration is performance tuning. SQL Server is like an exotic sports car, it will run just fine in anyone's hands but put it in the hands of skilled tuner and it will perform like a race car.
Certifications are like college degrees, they are a great starting points to begin learning. I'm a Microsoft Certified Database Administrator (MCDBA), Microsoft Certified System Engineer (MCSE) and Microsoft Certified Trainer (MCT).
Born in Ohio, raised and educated in Pennsylvania, I currently reside in Atlanta with my wife and two children.