HKR Trainings Logo

SQL Server Analysis Services Training

5 ( 517 Learners)

Get Your Dream Job With Our SSAS Training

30+ Hrs

Hands On Training

Lifetime Access

Updated Content

Customizable

Learning Paths

Industry Expert

Mentors

Projects

Advanced Interactive

Upcoming Live Online Classes

Course Price

149
ENROLL NOW

EMI Option Available

Can't Find Your Convenient Batch?

ssas Course Overview

SQL Server Analysis Services (SSAS) Training provides a comprehensive exploration of one of the key services offered in the Microsoft SQL Server suite. SSAS is a powerful analytical data engine that enables users to analyze and visualize data for insightful decision-making.

SSAS Training Prerequisites

To apply for the SSAS Training, you need to either:

  • You should have a good understanding of database concepts like normalisation, indexing and data integrity.
  • You need to have a good understanding of SQL concepts to write queries.
  • You need to have knowledge on data modelling techniques.
  • You should be familiar with at least one programming language like java, python or Ruby.

SSAS Course Content

The SSAS course content has been designed by the industry professionals with an aim to cover the latest and industry required modules. Following are the SSAS syllabus sections that we are going to cover in this training. 

Topics: 

  • Introduction to SAAS 
  • Understanding SSAS architecture 
  • Overview of cube concepts 
  • Multidimensional analysis 
  • Working with OLAP databases and tables 
  • Dimension wizard 
  • Introduction to data sources 
  • Overview of dimension structure 
  • flexible and rigid relationship 
  • Attribute relationships 

Learning Outcome: After completion of this chapter you will gain a complete overview of all the concepts associated with SSAS and their role in executing various tasks. 

Topics: 

  • Process dimension
  • creation of cube
  • the Process database
  • understanding cube structure,
  • Defining categories 
  • Cube browsing
  • Product key and customer key 
  • Processing and deploying a cube 
  • Column naming 
  • Report creation with a cube 

Learning Outcome: Upon the completion of this section you will gain hands-on exposure in creating, deploying and managing a cube.  

Topics: 

  • Importance of data dimensions
  • Various relationships between data 
  • Referenced,regular, many to many relationships 
  • working on data partitions
  • Data aggregations

Learning Outcome: After completion of this section you will gain an overall knowledge of dashboards and various relationships between data.

Topics: 

  • Understanding SSAS cube 
  • Different cubes in SSAS
  • Scope of cube
  • Comparing cube with data warehouse 

Learning Outcome: Upon the completion of this section you will gain a complete overview of Cube.

Topics:

  • Various operations on cube 
  • architecture of in-memory analytics
  • limitations of OLAP cubes
  • Advantages of in-memory analytics 

Learning Outcome: After completion of this session you will gain an overall knowledge of functionality and limitations associated with Cube concept. 

Topics: 

  • Implementing Cube with existing warehouse 
  • Understanding in-memory analytics functioning process

Learning Outcome: You will gain overall knowledge to deploy the cube to get self-service business intelligence.

Topics: 

  • Building a logical model of schema 
  • Understanding named queries & relationships 
  • Components of Cube 

Learning Outcome: Upon the completion of this section you will gain expertise in building logical models, using components of Cube, queries and relationships etc. 

Topics:

  • Overview of dimensions concept 
  • understanding Key/Value pairs
  • Introduction to Attributes and attributes hierarchies 
  • Role-based dimensions and logical keys 
  • Metadata reload

Learning Outcome: Upon the completion of this section you will be able to use attributes hierarchies and create role-based dimensions. 

  • Overview of measure of a cube
  • Relationship between measure and measure group
  • Analyzing the measure
  • Cube features and dimension 

Learning Outcome: Upon the completion of this section you will gain an overall knowledge of Cube features and dimensions and master various features of Cube. 

Topics: 

  • Introduction to cube measures
  • Overview of Key performance indicators
  • Deploying analytics and actions
  • working on data partitions
  • Drill-through actions on data
  • Aggregations
  • Working on data partitions
  • translations and perspectives

Learning outcome: Upon the completion of this section, you will gain hands-on expertise in Deploy analytics, Cube Measures, Deploy actions, Make data partitions and drill-through actions on data. 

Topics: 

  • Introduction to the multidimensional expression language
  • Working with clause, filter, tuple set condition in MDX. 
  • working with MDX queries to retrieve data 

Learning Outcome: Upon the completion of this section you will gain practical knowledge in using various conditions in MDX to retrieve data.

Topics:

  • Introduction to MDX hierarchies 
  • Functions used in MDX
  • Ascendant, Ancestor, and Descendant function
  • Data ordering 

Learning Outcome: After completion of this chapter you will gain hands-on expertise in various functions executed by MDX.

  • Create MDX hierarchies
  • data ordering in ascending order
  • data order in descending order 

Topics: 

  • Data Analysis Expressions (DAX)
  • CALCULATE and EVALUATE functions 
  • Perform data analysis
  • Create calculated measures
  • Filter DAX queries

Learning Outcome: Upon the completion of this section, you will be able to use filter DAX queries, EVALUATE and CALCULATE functions, perform data analysis, create calculated measures by using DAX.

Topics: 

  • Creating and publishing a tabular model 
  • Hierarchies, perspectives, partitions, and calculated columns
  • Designing measures relationships,  

Learning outcome: Upon the completion of this section you will gain hands-on expertise in all the above-mentioned concepts: 

Topics: 

  • Configuring and maintaining SSAS
  • Monitoring and optimizing performance 
  • Non-Union memory architecture (NUMA)
  • SSAS Tabular model with vNext,
  • Model importing from Power BI desktop 
  • Excel portability
  • Bidirectional cross-filtering 
  • Importing a Power pivot model 

Learning Outcome: In this section, you will gain hands-on experience in configuring and maintaining SSAS. 

Topics:

  • R server to read data from txt, SAS or excel formats 
  • Summarizing data
  • converting data to XDF format
  • Quantities extraction using rxQuantiler
  • xCube versus rxCrossTabs
  • Data visualization 
  • Performing transforms using transformVars
  • Processing data with rxDataStep
  • Using ScaleR to build predictive models 
  • Text processing with RML packages 
  • Executing in-database analytics with SQL server 

Learning Outcome: Upon the completion of this section you will gain overall knowledge and execution of all the above concepts in real-time. 

SSAS projects

We at HKR not only provide you with theoretical training but also make you practically knowledgeable by making you work with real-.....world projects and case studies. Every course we offer includes two real-time projects which provide you with real-time experience. The practical knowledge improves your domain expertise and helps you in clearing the certifications with ease. Read more

SSAS training Options

LIVE ONLINE TRAINING
  • Interactive sessions
  • Learn by doing
  • Instant doubt resolution
  • Expert's Guidance
  • Industry-ready skills

299

Pay installments with no cost EMI

1:1 LIVE ONLINE TRAINING
  • Exclusive training
  • Flexible timing
  • Personalized curriculum
  • Hands-on sessions
  • Simplified Learning

Exclusive learning from industry experts

649

Pay installments with no cost EMI

SELF-PACED E-LEARNING
  • Skill up easily
  • Learn in no hurry
  • Less expensive
  • Unlimited access
  • Convenient

Hone your skills from anywhere at anytime

149

Pay installments with no cost EMI

SSAS Training Corporate Training
Employee and Team Training Solutions

Top Companies Trust HKR Trainings

Employee and Team Training Solutions Employee and Team Training Solutions
Our Learners
Harshad Gaikwad

Harshad Gaikwad

Practice Head

5
I had an insightful experience with HKR Trainings while participating in the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer offered detailed insights into various ServiceNow ITOM modules and practices. Throughout the course, the support team was consistently available, and the trainer adeptly clarified all my inquiries, ensuring a comprehensive understanding of ServiceNow ITOM concepts.
Balaji Gnanasekar

Balaji Gnanasekar

IT Analyst

5
I had a comprehensive learning journey with HKR Trainings while undertaking the PostgreSQL Training online. Engaging in instructor-led sessions, the trainer delved deep into various PostgreSQL functionalities and best practices. Throughout the training, the support team remained attentive, and the trainer skillfully addressed all my questions, facilitating a solid grasp of PostgreSQL concepts.
Amit Singh

Amit Singh

Technical Lead - Service Now

5
I had a rewarding experience with HKR Trainings while delving into the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer provided comprehensive insights into various ServiceNow ITOM modules and best practices. Throughout the course, the support team was consistently available, and the trainer adeptly addressed all my queries, ensuring a robust understanding of ServiceNow ITOM concepts.
SSAS online training Objectives

The SQL Server Analysis Service (SSAS) is a multidimensional OLAP server and also an analytical engine that helps you to divide massive sets of data into smaller ones. This SSAS online training is designed to provide you with various skills such as analysis techniques, building OLAP Cubes, discovering trends in data etc. 

1.The role of SSAS in delivering quality BI solutions 

2.Developing Cubes for online Analytical processing 

3.Manipulating and Querying data with MDX

4.Data Schemas and data source views 

5.Advanced dimension relationship and Cube hierarchy extension 

6.Deploying data mining for extended BI results 

7.In-memory analytics techniques 

8.Cube operations and constraints

This SSAS training is idle for below professionals:

  • Business intelligence professionals 
  • Data analytics professionals Data
  • Warehousing and Database professionals

As such there are no prerequisites to learn SSAS. 

  • It is an advanced tool to make sense of massive sets of data in a data warehouse.
  • There is a huge demand for the professionals who have skills in OLAP Cubes, MDM and process to drive insights out of data. 
  • Data is everywhere and large corporations across the globe are offering a good number of employment opportunities for SSAS professionals. 
  • The average salary received by a certified SSAS professional is  $95000 USD per year. 

HKR Provides SSIS Training, SSRS Training, etc along with SSAS Training.

FAQ's

Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.

Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.

Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.

Our trainers are real time experts who are presently working on particular platform on which they are providing training.

You can call our customer care 24/7

Max of the students get satisfied with our training, if you are not then we provide a specialised training in return.

For Assistance Contact: United_States_Flag +1 (818) 665 7216 Indiaflag +91 9711699759

Call Us

Query