Microsoft SSAS Training

Anyone can start Microsoft SSAS Training course because there are no prior requirements necessary. We provide a 10-hour Microsoft SSAS course taught by instructors with more than 10 years of real-time experience. The course includes real-world assignments and the faculty will direct you toward setting a work environment to practice assignments.

Assistance in CV preparation, interview questions answers, and materials are part of the training program. We do advise taking a one-hour session every day, From Monday through Friday, but one can also look into the weekend, fast-track, one-on-one, or customized programs.

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SSAS Developer Career

✔️SSAS Pre-requisites

Basic Computer Knowledge.

✔️Jobs On SSAS

Top IT MNC such as Capgemini, Cognizant, IBM, Infosys, Accenture, etc.,

✔️SSAS Developer Salary

The average salary for a Java Developer with 4 years experience in India is $106,773.

✍️ Detailed Course Curriculum

Our Technical expert will help you with real time issues. He also guide you in certification preparation and career mentoring if required.

SSAS Course FAQ's

01. can you help me in CV preparation?
Yes, We can help you preparing your resume.

02. will you help in interview preparation?
We can provide you interview question answers. The course covered many real-time examples. These examples might help you.

03. Is this course sufficient to get a job?
Our training covered as many real-time examples as we can. This course may equivalent to 2 to 3 years of work experience. You have to work hard if you are aimed at 4+ years of experience.

04. What’s the certification process?
Please come with an exam code. We’ll guide you further. We’ll guide you on how to get certified. Don’t worry, we’ll help you in certification process.

05. Can you provide Work Support?
We can provide job support for an additional fee. Contact the support team for fee details. You can choose either the hourly rate or monthly fee.

1. SSAS Installation and Configuration

  • Introduction to SSAS 2012 & 2014
  • Multidimensional Mode Configuration
  • Tabular Mode Configuration, In-Memory
  • Testing SSAS Workspace Servers in SSDT
  • Understanding Real-world Databases
  • Need for OLAP Databases and Mining
  • Need for Cubes and Faster Reports
  • Identifying OLAP / Analysis Entities
  • Kimball and Inmon Methods – BI Design
  • SSAS Usage and Target Access Methods
  • Column Storage, Row Storage Options

2. Basic SSAS Entities & Usage

  • Data Source and Data Source Views
  • Computed Columns and Attributes
  • Building Relationships For Cubes
  • Identifying Facts and Dimensions
  • Identifying Measurable Aggregates
  • Identifying Attributes and Hierarchies
  • Deciding Cube (MOLAP) Schema
  • Named Queries and Relations in DSV
  • Database Dimensions from DSV Entities
  • Cube Dimensions from DSV Relations
  • Cube & Database Dimensions – Issues

3. Dimension Wizard and Attributes

  • Creating Multi-Dimensional Entities
  • Attributes and Key Member Names
  • Cube Dimension Templates and Options
  • Applying Time Based Dimensions
  • Dimension Hierarchies and Limitations
  • Cube Attribute Relations and Uses
  • Composite Attribute Keys in OLAP Cubes
  • Building Attribute Levels and Hierarchies
  • Duplicate Attribute Key Errors
  • Common Deployment & Security Errors
  • Deployment Warnings in Real-World

4. Cube Wizard and Relations

  • Cube Design – Regular Templates
  • Cube Measures and Dimension Keys
  • Additive and Semi-Additive Measures
  • Cube Customization Options and MDX
  • Calculations and MDX Members
  • MDX Scripts for Member Calculations
  • Cube Calculation Sets and MDX Scripts
  • BI Enhancements and MDX in MOLAP
  • Time-Based Calculations with MDX

5. Dimension Types & KPI

  • Role-Playing Dimensions and MDX
  • Fact and Factless Dimensions
  • Referenced Dimensions & Usage
  • Conformed Dimensions & Usage
  • Degenerate Dimensions & Usage
  • Junk & Hierarchical Dimensions
  • Dimension Usage and Granularity
  • Building Fact Less Dimensions
  • Static and Dynamic KPIs with MDX
  • Parent and Child KPIs with MDX
  • Defining KPIs and Goals using MDX
  • Perspectives using MDX Expressions
  • SSAS Actions with MDX and XMLA

6. SSAS Partitions and Aggregations

  • Local and Remote Cube Partitions
  • Storage Modes – MOLAP, ROLAP, HOLAP
  • Aggregations and Proactive Caching
  • Tuning Cube Partition Processing
  • Row Estimations and Aggregations
  • Assigning Aggregations, Scripts
  • Usage-Based Optimization (UBO)

7. MDX Functions, FILTERS and JOINS.

  • MDX Functions & Conditional JOINS
  • Complex MDX Queries & FILTERS
  • CROSS APPLY versus MDX JOINS
  • CROSS APPLY and MDX Query Filters
  • Cube and Dimension Writebacks
  • MDX with Roleplaying Dimensions
  • MDX Transactions & Limitations

8. Data Mining and Forecast

 

11. OLAP Database Management

  • OLAP & Tabular Database Backups
  • OLAP Compressions and Encryptions
  • Backups, Restores and Passwords
  • Scheduling Backups and Jobs
  • OLAP DB Synchronizations and XMLA
  • Partitions – Splits and Merge Options

12. Usage-Based Optimization (UBO)

  • Need for Optimization and Audits
  • Designing Aggregations using UBO
  • Aggregations For Optimization Levels
  • Audit Query Filters and Reuse Options
  • OLAP Restore Options and XMLA

13. Using OLAP Structures

  • Cube Analysis with Excel Tables
  • Excel Pivots and Refresh Options
  • Configuring ODC (Office) Connections
  • Prediction Functions and Analysis
  • DMX and MDX Queries Interfaces

14. Managing Security with MDX

  • SSAS Security Roles and Scope
  • Object Level Access and Dynamic MDX
  • Item Security and DAX Expressions
  • Dynamic Cube Security with MDX
  • OLAP Security Audits and Query Logs

15. Schedules and SSAS Upgrades

  • OLAP Management with ETL/DWH
  • MDX and OLAP Operations with ETL
  • Scheduling SSAS Operations (XMLA)
  • Comparing SSAS 2012 & SSAS 2014
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