AZURE STREAM ANALYTICS in Hyderabad ,Ameerpet @ 0091-9704077815

“Power BI Guru E Solutions Pvt Ltd” is considered to be the Best Advanced Training institute in Hyderabad that offers quality and Instructor-led classes to all the intended audience. Domain Expertise mainly helps the audience to leverage practical knowledge skills in Data Modelling to solve complex business issues with an optimized solution.

By the end of  AZURE STREAM ANALYTICS  Course, aspirants can be able to crack the interviews for Data Modelling Analyst.

Key Features

20 hours of Instructor-led training classes
Understanding the concept of Tabular SSAS Cube, creation and understanding Cube Structure, Cube processing and deploying and Cube comparison with Data Warehouse.
Understanding the concept of Data Sources, working with Dimension Wizard, Dimension Structure, Attribute Relationships and role based dimensions.
Understanding Data Dimensions and working on Data Partitions, Translations,  Perspectives, KPI’s and Data Aggregations.
Creation and analysing the Measure in Cube and an overview of the Dimensions concept, describing the Attributes and Attributes Hierarchies, understanding Key/Value Pairs.
Data Analysis Expressions (DAX), Using the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX.


  • Microsoft BI SSAS Course is designed to provide insights on tool in Microsoft BI Suite (SQL Server Analysis Services). Companies are looking for expertise in SSAS & DAX concepts. This course will give you the practical knowledge of Data Warehouse concepts and how this tool help in developing a robust end-to-end BI solution using the Microsoft BI Suite.
  • SSAS training is designed to make you a certified Business Intelligence Analyst by providing you rich hands-on training Microsoft’s business intelligence tool. This course is stepping stone to your Analyst journey and you will get the opportunity to work on various industrial projects.

What will you learn from our Workshop: 

  • Choosing the right model architecture
  • Importing data to create tables and defining relationships
  • Enhancing model designs with usability features
  • Enhancing model designs with business logic
  • Managing tabular databases
  • Designing for DirectQuery mode
  • Deploying to Azure Analysis Services
  • Comparing tabular and multidimensional models
  • Expertise in DAX functions

Is this course right for you?

  • You can learn SSAS,DAX and Data Warehousing Concepts from scratch
  • In a single course, without any prior query development experience – You can learn query languages –   T-SQL,DAX  in such detail that you can apply for a job of SQL Developer / SSAS Developer / Data Mining Developer.
  • Also you get to compare the querying techniques in different query languages side by side using examples from a single course, taught by a single instructor on the same sample data.


  • No prior working knowledge of SQL Server, SSAS, Data Mining, T-SQL, MDX, DAX or DMX is required.

Course Content :

Getting started

  • Multidimensional Vs Tabular
  • Separate Named Instances

Visual Studio basics

  • Visual Studio windows
  • Setting startup options
  • Creating a project

Connecting to SQL Server

  • Creating and using connections
  • Filtering rows and column

Creating a data model

  • Hiding from client tools
  • Renaming tables/columns
  • How column storage works
  • How processing works


  • Diagram view
  • Creating relationships


  • Creating measures
  • SUMX, AVERAGEX, etc.


  • Creating a hierarchy
  • Viewing hierarchies


  • The parts of a KPI
  • Absolute and relative measures
  • Creating and viewing KPIs


  • Creating perspectives
  • Using in Excel


  • How security works
  • Creating roles
  • Filtering rows by role

Calculated columns

  • Using IF and SWITCH
  • BLANK arithmetic
  • Linking tables using RELATED

DAX (Data Analysis Expressions)

  • Purpose of Data Analysis Expressions (DAX)
  • Scope of Usage with DAX. Usability Options
  • DAX Context : Row Context and Filter Context
  • DAX Entities : Calculated Columns and Measures
  • DAX Data Types : Numeric, Boolean, Variant, Currency
  • DAX Operators & Symbols. Usage. Operator Priority
  • Parenthesis, Comparison, Arithmetic, Text, Logic
  • DAX Functions and Types: Table Valued Functions
  • Filter, Aggregation and Time Intelligence Functions
  • Information Functions, Logical, Parent-Child Functions
  • Statistical and Text Functions. Formulas and Queries
  • Syntax Requirements with DAX.
  • Naming Conventions and DAX Format Representation
  • Working with Special Characters in Table Names
  • Attribute / Column Scope with DAX – Examples
  • Measure / Column Scope with DAX – Examples
  • YTD, QTD, MTD Calculations with DAX
  • Time Intelligence Functions with DAX