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SQL Server Analysis Services Training

4,534 Ratings

Enroll in Intellipaat’s SSAS certification training today and gain professional skills in all the concepts of SQL Server Analysis Services.

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Key Highlights

12 Hrs Instructor Led Training
12 Hrs Self-paced Videos
16 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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SQL Server Analysis Services Training Overview

What will you learn in this SSAS training course?

  1. Deploying quality BI solutions using SSAS
  2. Designing online analytical processing cubes
  3. Querying and manipulating data with MDX
  4. Cube hierarchy extension and the advanced dimension relationship
  5. Data source views and data schema
  6. Deploying data mining for improved Business Intelligence
  7. Cube operations and limitations
  8. In-memory analytics techniques
  • Business Intelligence and Analytics Professionals
  • Database and Data Warehousing Professionals

There are no prerequisites for taking up this SSAS training course.

MSBI SSAS is a powerful data analytics service to make sense of huge volumes of data in a data warehouse. There is increased demand for professionals who are well-versed in working with OLAP cubes, multidimensional data modeling, and deriving business insights out of the data. Intellipaat’s SSAS certification training will help you master the SSAS tool to get the best jobs in the corporate world.

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Course Fees

Self Paced Training

  • 12 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

₹7,011

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  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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SSAS Online Training Course Content

Live Course

Getting started with SSAS

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Understanding the concept of multidimensional analysis, understanding SSAS Architecture and benefits, learn what is Cube, working with Tables and OLAP databases, understanding the concept of Data Sources, working with Dimension Wizard, understanding Dimension Structure, Attribute Relationships, flexible and rigid relationship.

Learning about Process Dimension, the Process database, creation of Cube, understanding Cube Structure, Cube browsing, defining the various categories, Product Key and Customer Key, Column Naming, processing and deploying a Cube, Report creation with a Cube.

Hands-on Exercise – Create a Cube and name various columns Deploy a cube after applying keys and other rules Create reports with a cube

Understanding Data Dimensions and its importance, the various relationships, regular, referenced, many to many, fact, working on Data Partitions, and Data Aggregations.

Learning about SSAS Cube, the various types of Cubes, the scope of Cube and comparison with Data Warehouse.

The various operations on Cube, the limitations of OLAP Cubes, the architecture of in-memory analytics and its advantages.

Deploying cube with existing data warehouse capabilities to get self-service business intelligence, understanding how in-memory analytics works.

Hands-on Exercise – Deploy cube to get self-service business intelligence

Logical model of the schema used by the Cube, components of Cube, understanding Named Queries and Relationships.

An overview of the Dimensions concept, describing the Attributes and Attributes Hierarchies, understanding Key/Value Pairs, Metadata Reload, logical keys and role-based dimensions.

Hands-on Exercise – Create role based dimensions, Use Attributes Hierarchies

Understanding the Measure of Cube, analyzing the Measure, exploring the relationship between Measure and Measure Group, Cube features and Dimension usage.

Working with Cube Measures, deploying analytics, understanding the Key Performance Indicators, deploying actions and drill-through actions on data, working on data partitions, aggregations, translations and perspectives.

Hands-on Exercise – Work with Cube Measures, Deploy analytics, Deploy actions and drill-through actions on data, Make data partitions

Understanding Multidimensional Expressions language, working with MDX queries for data retrieval, working with Clause, Set, Tuple, Filter condition in MDX.

Hands-on Exercise – Apply Clause, Set and filter condition in MDX query to retrieve data

Learning about MDX hierarchies, the functions used in MDX, Ancestor, Ascendant and Descendant function, performing data ordering

Hands-on Exercise – Create MDX hierarchies, Perform data ordering in ascending order, in descending order

Designing and publishing a tabular data model, Designing measures relationships, hierarchies, partitions, perspectives, and calculated columns

Hands-on Exercise – Design and publish a tabular data model, Design measures relationships, hierarchies, partitions, perspectives, and calculated columns

Configuring and maintaining SQL Server Analysis Services (SSAS), Non-Union Memory Architecture (NUMA), Monitoring and optimizing performance, SSAS Tabular model with vNext, Excel portability, importing model from Power BI Desktop, importing a Power Pivot model, bidirectional cross-filtering relationship in MSBI.

Hands-on Exercise – Configure and maintain SQL Server Analysis Services (SSAS), Monitor and optimize performance

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Microsoft SSAS Online Training Projects

Microsoft SSAS Certification

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This SSAS MDX training is designed for clearing the MCSE: Business Intelligence Certification Exam.

At the end of the course, there will be a quiz and project assignments. Once you complete them, you will be awarded Intellipaat’s course completion certificate.

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SQL Server Analysis Services Training FAQs

Why should I learn SSAS from Intellipaat?

Intellipaat is the market leader when it comes to delivering top training in Business Intelligence tools. In this SQL Server Analysis Services training, you will master the technique of analyzing data that is then deployed for Business Intelligence. This training involves various aspects of data analysis, designing OLAP cubes, and discovering trends using multiple tools and techniques. This training is in line with clearing the MCSE: Business Intelligence Certification Exam.

You will be working on real-time projects and assignments that have high relevance in the corporate world, and the course curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.

Other popular courses are Salesforce, Selenium, SQL, Power BI, MSBI, Tableau, etc.

Intellipaat offer certification training on Business Intelligence courses such as Power BI, Business Intelligence Masters, Tableau, MSBI, ETL, Informatica, Cognos, Qlikview, SSIS, SSRS, MicroStrategy, Data Warehousing, OBIEE, Oracle Hyperion, IBM DataStage, Pentaho, Jaspersoft, Tibco Spotfire, Talend, etc.

Intellipaat has plenty of free learning materials to help you understand the basics of SSAS such as: What is SSAS, SSAS Tutorial, and SSAS Interview Questions.

3 technical 1:1 sessions per month will be allowed.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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