SQL SERVER ANALYSIS SERVICES TRAINING COURSES LEEDS
About Enable Technology Leeds SQL Server Analysis Services Training Courses
We offer intensive two and three days SQL Server Analysis Services courses. The person delivering the course will be a Microsoft Solutions Expert (MCSE). We will issue each SQL Server Analysis Services training participant with learning resources which they can refer to post training. Our policy is to provide open ended SQL Server Analysis Services post training support to participants. This additional service is an important part ofhow we help people implement the skills they have learned in the workplace.
Enable Technology training courses are delivered as instructor led courses. If you can provide a training room, we can bring the necessary laptops with software installed and deliver the SQL Server Analysis Services onsite. We are also more than happy to organise a local course at a training location in Leeds. We offer the option of working with you to develop a bespoke SQL Server Analysis Services programme which precisely matches your organisations training requirements.
This instructor led SQL Server Analysis Services training is also available online. Participants can see the tutors screen, ask questions and share their screen with the tutor.
Our teaching team have over twenty years continuous technical training experience. Our clients include: TalkTalk Direct Limited, Keele University, South Staffordshire Water PLC, Countrywide Homes Limited, Norwich Union PLC, Halfords Group PLC, Lloyds TSB Bank PLC and Royal & Sun Alliance Group PLC.
Microsoft SQL Server Analysis Services SSAS Multdimensional Modelling
- 2 day course
- Location: Leeds
- Telephone on 01952 938014
- Course Outline
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This intensive two day course is intended for SQL professionals and business intelligence professionals. The course covers the use of Analysis Services development tools to create and deploy multidimensional SSAS projects.
- Some of the training topics covered include ... Add or Remove Tables or Views in a Data Source View
- See Training Course Details...
Delete a Data Source View Dimensions
Define Semiadditive Behavior
Create User-Defined Hierarchies
Deployment Requirements and Considerations for Analysis Services Deployment
Define a Referenced Relationship and Referenced Relationship Properties
Document and Script an Analysis Services Database
Supported Data Sources
Work with Diagrams in Data Source View Designer
Database permissions
Set Impersonation Options for a Data Source Connection
Set Partition Storage
Create a Dimension by Generating a Non-Time Table in the Data Source
Create Local Partitions
Define Named Calculations in a Data Source View
Processing Databases, Dimensions and Partitions
Create Calculated Members
Configure Analysis Services Project Properties
Read Definition permissions
Defined Linked Measure Groups Partitions
Use Aggregate Functions
Microsoft SQL Server Analysis Services Tabular Modelling
- 2 day course
- Location: Leeds
- Telephone on 01952 938014
- Course Outline
-
A two day intensive course detailing how to create, deploy, use and manage tabular models in Microsoft SQL Server Analysis Services (SSAS) . The course is aimed at Data Analysts and SQL professionals. No prior knowledge of SSAS is assumed.
- Some of the training topics covered include ... Data sources supported in SSAS tabular 2016 Create Tabular Models
- See Training Course Details...
Bi-directional cross filters Calculations
Row filter mappings
Hide or freeze columns
Deploy from SQL Server Data Tools Manage Tabular Model Databases
Filter Data in a Table Relationships
Create a Calculated Table
Create and Manage Partitions in the Workspace
Data sources supported in tabular 1200 models
Specify Mark as Date Table for use with Time Intelligence
Data sources supported in tabular 1400 models
Create and Manage Tabular Model Partitions
Data sources supported in SSAS tabular 2017
Sort Data in a Table
Import from Power View
Add columns to a table
Create a New Tabular Model Project
Import data by using a native query
Change table, column
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