Duration: 5 Days
Price: $2795 *California residents and government employees call for pricing.
Discounts: We offer multiple discount options. Click here for more info.
This hands-on course introduces the SQL Server 2014 Business Intelligence Suite, including Reporting Services (SSRS), Integration Services (SSIS) and Analysis Services (SSAS). Students start by installing and configuring SQL Server 2014 servers that support SSRS, SSIS and SSAS. Hands-on exercises will be performed where they create various types of reports, including basic table-based reports, parameterized reports, drilldown reports, linked reports, sub-reports, matrix reports (pivot tables), free-form reports and reports with charts and gauges.
Students learn how to group data and add subtotals and totals to reports, as well as how to add custom calculations using the built-in functions or using custom functions written in .NET. Also demonstrated are all of the data sources for reports that Reporting Services supports including: SQL Server databases, Access databases, XML files, Oracle databases, data warehouses and Analysis Services data cubes. Report Models, and how they can support end users creating ad-hoc reports, are covered and students practice with them in comprehensive hands on exercises. This includes a demonstration of Report Builder, which is a free report authoring tool from Microsoft. The course includes a complete overview of Report Server administration, including how to deploy and secure reports, how to schedule automatic report generation and delivery, how to backup reports, how to store previous copies of reports in history folders, and how to maintain and troubleshoot Report Servers.
Students also spend a full day completing hand-on exercises demonstrating Integration Services (SSIS) features, including understanding the architecture of Integration Services projects and packages, as well as how to design and implement data integration routines using SSIS. Exercises will move data between XML, Excel, flat file and database formats, and they will also demonstrate how to modify data between source and destination. Adding error handing to SSIS routines is also reviewed as well as deployment and scheduling.
The final day covers how to create data cubes using Analysis Services (SSAS), which includes an overview of data warehouse design concepts and why data cubes typically pull their data from data warehouses. Hand-on exercises are performed that create, deploy, process and connect to data cubes.
Students who are already familiar with Reporting Services and who wish to focus more in-depth on Integration Services and Analysis Services should attend the SQL Server 2014 Business Intelligence: Integration Services and Analysis Services rather than this course.
Familiarity with database concepts, Windows desktop navigation and software installation techniques. Attendance at HOTT's SQL Programming course or Microsoft Transact-SQL Programming course is highly recommended although not required.
|Reporting Services Architecture
||Creating Basic Reports
|Advanced Report Features
|Implementing Report Models
||Report Builder Utility
|Reporting Services Security
||Automating Report Creation and Delivery
|Adding Custom Code
||.NET Integration with Reporting Services
|SSIS Architecture and Fundamentals
||Designing Data Integration with SSIS
|SSIS Data Transformation
||Deploying and Managing SSIS Projects
|OLAP and Data Warehouse Fundamentals
||Creating Analysis Services Cubes
||Cube Deployment and Security
Liked the enthusiasm the instructor brought to the subject and anecdotes that helped us better understand the concepts. Also, the tips were super helpful and would definitely consider taking more training from HOTT.
— C.L., Buffalo Exchange
I was extremely impressed with your remote setup. Great teacher who made us feel like we were there (beyond the great tech setup). I thoroughly enjoyed my week.
— F.C., McGill University Health Centre
Choose a city below to view a schedule. If you have any questions, please call us at 978-250-4299 between 9:00 am - 5:00 pm EST.
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