This Intellipaat SSAS training is in line with the requirements of the industry for analyzing data that is then deployed for Business Intelligence. This SSAS online training equips you with various analysis techniques, discovery trends and building OLAP Cubes for generating business insights.
There are no prerequisites for taking up this SSAS training course.
The 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 it. This Intellipaat training will help you master the SSAS tool to get the best jobs in the corporate world.
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
Data Analysis Expressions (DAX), Using the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX
Hands-on Exercise – Use the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX
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
Reading data with R Server from SAS, txt, or excel formats, converting data to XDF format; Summarizing data, rxCrossTabs versus rxCube, extracting quantiles by using rxQuantile; Visualizing data (rxSummary and rxCube, rxHistogram and rxLinePlot) Processing data with rxDataStep Performing transforms using functions transformVars and transformEnvir Processing text using RML packages Building predictive models with ScaleR Performing in-database analytics by using SQL Server
Hands-on Exercise – Read data with R Server from SAS, txt or excel formats, convert data to XDF format; Summarize data, Extract quantiles by using rxQuantile; Visualize data (rxSummary, rxCube, rxHistogram and rxLinePlot) Perform transforms using functions transformVars and transformEnvir Build predictive models with ScaleR Perform in-database analytics by using SQL Server
Free Career Counselling
Problem Statement: Using Adventure Works DW 2014 database, Build a Cube to show the number of products there for each color, total Sales Amount for each currency, Count of products there for each product name. Create a reference relationship between the Product category table and subcategory table hence show how many subcategories are there for each category. Build the partitions for sales amount <= 700 and sales amount > 700. Make the aggregations and stop when performance gain reaches 40%. Build a perspective (Subset of the above cube) with limited measures and Dimension fields.
Topics: Dimensions, Data Dimensions & Cubes, Aggregations, Measures & features of Cube, SSAS Perspectives
Case Study: SSAS
Problem Statement: Knowledge check on data mart, measures, dimension, cube, KPI’s, perspectives in SSIS
Topics: Dimensions, Data Dimensions & Cubes, Measures & features of Cube, SSAS Perspectives
This course 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 with Intellipaat Course Completion Certificate.
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 of 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 SQL projects and step-by-step 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.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in 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 decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.