SQL SERVER ANALYSIS SERVICES TRAINING COURSES COLWYN BAY
About Enable Technology Colwyn Bay SQL Server Analysis Services Training Courses
We offer intensive two and three days SQL Server Analysis Services courses. All of our tutors are Microsoft Certified Professionals. Each person attending a course takes away SQL Server Analysis Services courseware which can be used as reference materials after the training. 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. We can set up a training lab at your premises and deliver SQL Server Analysis Services courses onsite at your site. Another way we could deliver the SQL Server Analysis Services course is at a local training site. All SQL Server Analysis Services courses can be customised to meet your particular requirements.
This course can also be delivered in a virtual classroom. Delegates can log into a scheduled SQL Server Analysis Services course, watch the tutor demonstrate tasks, ask questions and share their own screen.
We guarantee you tutor will have at least twenty years of technical training experience. Some of our clients are Nationwide Building Society Limited, Birmingham Heartlands Hospital, West Bromwich Building Society, Barclays Bank PLC, Loughborough University, Vodafone Group Services, Fujistu PLC and EDF Energy PLC.
Microsoft SQL Server Analysis Services SSAS Multdimensional Modelling
- 2 day course
- Location: Colwyn Bay
- 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 ... Define a Regular Relationship and Regular Relationship Properties
- See Training Course Details...
Define a Many-to-Many Relationship and Many-to-Many Relationship Properties Measures and Measure Groups
Explore Data in a Data Source View
Deployment Requirements and Considerations for Analysis Services Deployment
Delete a Data Source
Create a Dimension by Generating a Non-Time Table in the Data Source
Define a Fact Relationship and Fact Relationship Properties
Define Semiadditive Behavior
View the XML for an Analysis Services Project Data Sources
Work with Diagrams in Data Source View Designer
Cube or model permissions Process permissions
Deploy Analysis Services Projects
Partition Writeback Calculations
BI Wizard
Designing Aggregations
Using SQL Server Data Tools (SSDT)
Use Aggregate Functions
Edit or Delete Partitions Merge Partitions
Create a Time Dimension by Generating a Time Table
Deploy Model Solutions Using the Deployment Wizard
Create Calculated Members
Microsoft SQL Server Analysis Services Tabular Modelling
- 2 day course
- Location: Colwyn Bay
- 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 ... Tabular model designer
- See Training Course Details...
Import data by using a native query
Create a Calculated Table
Sort Data in a Table
Topics include- Overview of SSAS Tabular models
Version comparison
Specify Mark as Date Table for use with Time Intelligence
Add a table Delete a Table
Data types supported
Data sources supported in SSAS tabular 2017
Analyze in Excel
Create and Manage Tabular Model Partitions
Change table, column
Understanding DAX in Tabular Models Measures
Set the Data Type of a Column
Deploy from SQL Server Data Tools Manage Tabular Model Databases
Analyze a tabular model in Excel Deploy tabular model solutions
Create and Manage Partitions in the Workspace
Filter Data in a Table Relationships
Import Data
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