SQL SERVER ANALYSIS SERVICES TRAINING COURSES STAFFORDSHIRE
About Enable Technology Staffordshire SQL Server Analysis Services Training Courses
Enable Technology provides practical SQL Server Analysis Services skills based technology training. All of our tutors are Microsoft Certified Solutions Experts with development backgrounds. All course participants are issued SQL Server Analysis Services training manuals they can refer to after the course. We also provide an ongoing support service to people attending our SQL Server Analysis Services courses. Delegates can contact the course tutor with specific SQL Server Analysis Services questions for as long as they need following the course.
Enable Technology training courses are delivered as instructor led courses. We are set up to deliver SQL Server Analysis Services training courses onsite at your premises. If delivery onsite is an issue we will organise a venue near you in Staffordshire. Every SQL Server Analysis Services course can be modified to meet your bespoke requirements.
This instructor led course is also available online. Participants can log onto a virtual classroom and will be able to see the tutors screen, ask questions real time and share their screen with the Tutor.
The Enable Technology group of companies has been operating continuously providing IT training since 1998. Some of our clients are Total Telecommunications Limited, Shell UK Oil Products Ltd, Loughborough University, Barclays Bank PLC, Capita Group PLC, Countrywide Homes Limited, Nationwide Building Society Limited and Canadian High Commission.
Microsoft SQL Server Analysis Services SSAS Multdimensional Modelling
- 2 day course
- Location: Staffordshire
- 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 ... Set Impersonation Options for a Data Source Connection
- See Training Course Details...
Define Attribute Relationships
Set Partition Storage
Document and Script an Analysis Services Database
Define a Many-to-Many Relationship and Many-to-Many Relationship Properties Measures and Measure Groups
BI Wizard
Work with Diagrams in Data Source View Designer
Define Logical Primary Keys in a Data Source View
Deploy Model Solutions Using the Deployment Wizard
Create a Data Source
Define Assignments and Other Script Commands
Create Calculated Members
Backup and Restore of Analysis Services Databases
Create Remote Partitions
Add or Remove Tables or Views in a Data Source View
Deployment Requirements and Considerations for Analysis Services Deployment
Cube or model permissions Process permissions
Add a Standard Action
Deploy Analysis Services Projects
Configure Analysis Services Project Properties
Supported Data Sources
Microsoft SQL Server Analysis Services Tabular Modelling
- 2 day course
- Location: Staffordshire
- Telephone on 01952 938014
- Course Outline
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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 ... Enable DirectQuery mode in SSDT
- See Training Course Details...
Analyze in Excel
Manage Roles by using SSMS
Create and Manage Measures KPIs
Restore from Power Pivot
Create a Calculated Table
Import from Power View
Understanding DAX in Tabular Models Measures
Import data by using a native query
Create a Calculated Column
Import from Analysis Services
DAX formula compatibility in DirectQuery mode Tables and Columns
Rename a Table or Column
Import from Power Pivot
Bi-directional cross filters Calculations
Version comparison
Impersonation
Data sources supported in SSAS tabular 2016 Create Tabular Models
Create and Manage Hierarchies Partitions
Create and Manage KPIs Hierarchies
Data sources supported in SSAS tabular 2017
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