SQL SERVER ANALYSIS SERVICES TRAINING COURSES HUYTON
About Enable Technology Huyton SQL Server Analysis Services Training Courses
We are a company that provides short intensive SQL Server Analysis Services training courses. The course will always be taught by a Microsoft Certified Professional (MCP). All candidates receive comprehensive SQL Server Analysis Services training materials and practice files which are theirs to refer to after the course. We offer all delegates open ended post training support. Delegates can contact the Tutor after the course with SQL Server Analysis Services queries.
We specialise in instructor led teaching with small groups. The training is hands on and delegates will practice the skills they acquire. Enable Technology can supply all of the equipment necessary to deliver SQL Server Analysis Services courses onsite at your offices. You simply need to provide a suitable room. Alternatively we could schedule a course at a local venue in Huyton. We are happy to discuss customising the course content should you have particular SQL Server Analysis Services training requirements.
We also deliver this course online through virtual classrooms. Delegates can join scheduled SQL Server Analysis Services classes, view the tutors demonstrations, ask questions and share their screen with the trainer if they need assistance.
We have two decades of delivering technical training predominantly in the West Midlands. Some of our clients are Nuclear Engineering Services, Royal Air Force, Unipart Group, EDF Energy PLC, TalkTalk Direct Limited, Wolverhampton City Council, Fujistu PLC and Birmingham City University.
Microsoft SQL Server Analysis Services SSAS Multdimensional Modelling
- 2 day course
- Location: Huyton
- 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 ... Change a Partition Source
- See Training Course Details...
Create a Dimension by Using an Existing Table
Deployment Requirements and Considerations for Analysis Services Deployment
Replace a Table or a Named Query in a Data Source View
Modify or Delete an Analysis Services Database
Set Data Source Properties
Overview of SSAS Multidimensional Modelling
Define Logical Relationships in a Data Source View
Define Assignments and Other Script Commands
Deploy Model Solutions Using XMLA
KPIs Actions
Deploy Model Solutions Using the Deployment Wizard
Multidimensional models
Data Source Views
Create Calculated Members
Create Local Partitions
Read Definition permissions
Tools and Approaches for Processing
Defined Linked Measure Groups Partitions
Authorizing access to objects and operations
Define Attribute Relationships
Microsoft SQL Server Analysis Services Tabular Modelling
- 2 day course
- Location: Huyton
- 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 ... Process Database, Table, or Partition
- See Training Course Details...
Tabular model designer
Create and Manage Perspectives Translations Roles
Test a model in DirectQuery mode
Create and Manage Roles
Data types supported
Data sources supported in tabular 1400 models
Specify Mark as Date Table for use with Time Intelligence
Create a Relationship Between Two Tables
Data sources supported in SSAS tabular 2017
Topics include- Overview of SSAS Tabular models
DAX formula compatibility in DirectQuery mode Tables and Columns
Create and Manage Measures KPIs
Import data by using a native query
Version comparison
Set the Data Type of a Column
Hide or freeze columns
Process Tabular Model Partitions
Add a table Delete a Table
Deploy from SQL Server Data Tools Manage Tabular Model Databases
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