SSAS Training

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

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

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

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

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)

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

Need for Data Mining Structures
Data Mining Algorithms and Rules
DMX Queries and Forecast Reports
Data Mining Scope and DMX Ranks

Entity Identification Procedures
Workspace Configuration Settings
In-Memory Processing Options
Advance Cube Design Scenarios
Aggregated Measures with KPIs
Partitioned Dimensions & Usage
Conditional MDX Scripts & Options
Hierarchical MDX in Tabular Mode
MDX Filters and Joins in Tabular Mode

Deployment Options and Pre-requisites
Cube Deployment Process and Tools
SSAS Deployment Wizard Tool & Errors
Storage Locations - Cube & Partitions
Creating OLAP Databases, Scripts
Processing Options and Schedules
Managing Deployment Process (OLAP)
SSAS Database and Cube/Mining Audits
MDX Query Log Tables in DB Engine
Flight Recorder Options and Sampling
Managing SSAS Log Providers

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
Managing Partitions & Aggregations

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

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

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

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

Mindmajix offers advanced SSAS interview questions and answers along with SSAS resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

There are some Group discounts available if the participants are more than 2.

As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubbai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland etc…

SSAS course curriculum involves many fundamental topics, including, Data warehouse, OLAP Data Modelling, Dimension Modelling, MDX & DAX Expressions, Data Mining and Tuning, Debugging operations. The curricula include topics:

SSAS Installation and Configuration
Testing SSAS Workspace Servers
SSAS Usage and Target Access Methods
SSAS Entities & Usage
Dimension Wizard and Attributes
SSAS Partitions and Aggregations
Schedules and SSAS Upgrades

The training explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, you’ll master many advanced aspects of SAAS. 

As such there are no prerequisites for learning SAAS. However, with a number of opportunities in the field, the following job roles will get benefited from this course:

Data Analysts
Business Managers
BI professionals
Data warehousing professionals
End users
Aspirants aiming for a career in the prospective field.

An in-depth knowledge of an SSAS project ensures all the critical components are well-covered. With this knowledge, you can increase your visibility and enhance your efficiency in drawing real connections among different components of SSAS. We will also provide the complete material covering all the aspects of this project

List of Related Microsoft Certification Courses:

To get certified in SSAS, you will need to take a lot of SQL exams. The first step would be taking 70-461, 70-462 and 70-463 to get MCSA: SQL Server. After that, you can take 2 paths for MCSE, Data Management and Analytics, and Business Intelligence. Each MCSE certificate requires MCSA plus 2 additional exams. For passing these certification exams, an in-depth understanding of all the SSAS concepts is recommended. The learning path and the project Mindmajix comes up with will be exactly in line with the certification program which enables you to clear SSAS certification exam with greater ease and secure a job in top multinationals.