V Cube
Power bi full stack training

POWER BI Full stack course: Microsoft’s Power BI fullstack is a business investigation administration. It intends to provide intuitive visualisations and business intelligence capabilities using an interface that is simple enough for end users to create their own reports and dashboards. V Cube Software Solutions is one of the top organizations in Hyderabad for Power BI Full stack Training. Get your Power BI Training in kukatpally Now.

Duration: 4 Months 

Description of the Power BI full Stack Course

Power BI is a business analytics tool that allows you to visualise data and distribute insights within your organisation, as well as integrate them in your app or website. Connect to hundreds of data sources and use live dashboards and reports to bring your data to life.

Learn how to swiftly harvest insights from your data with Power BI, a comprehensive suite of business analytics tools that includes the Power BI service, Power BI Desktop, and Power BI Mobile, that may help you more efficiently create and share meaningful visualisations with people in your organisation.

This introductory course will teach you how to get started with this formidable toolkit. Connecting to and converting web-based data sources will be covered.

Why Choose V CUBE for Power BI Full stack Training ?

Are you eager  to Receive Best POWER BI Full stack course in  Kukatpally You are in the right Place. V CUBE  is a Best Software Training Company in Hyderabad that offers the best software training.You might wonder why you have to choose  V CUBE  for FULL Stack Power BI Training in Hyderabad while there are so many Software Institutes in Hyderabad ,  First Let us brief  you about our  Software Training institute which is Located is kukatpally, Hyderabad. V CUBE is one of the Leading Software Training Institutes we Specialized in Various Software Courses along with power bi, We almost Trained 500 Students  around  300 of Them Get Placed in Top MNC companies  We assist candidates in achieving their dream job via the use of a tech career and practical programming and IT skills. Our instructors have a combined experience of more than 15 years.We make sure that students obtain real-world experience by having our trainers work in top mnc firms, providing job-oriented training, career guidance programmes, and requiring students to work on two real-world projects to gain hands-on experience.The major purpose of this training is to give users with a working knowledge of utilising power bi  to explore and analyse information, as well as to create simple visualisations for dashboards using the capabilities offered by the Full Stack power bi We Provide Full Stack power bi Developer Course  in Hyderabad  for online and Offline the Fees may Fluctuate   Between Online and Offline but we make sure every  students get Best Training Possible as the classroom contains only Limited Students the Trainers are Able  to concentrate on every Student’s Performance  and analyze them  , Guide them Individually. Join power bi Developer Course  now and Upgrade your Skills We offer both online and offline Power BI training in Hyderabad. The fees may fluctuate between online and offline, but we ensure that every student receives the best training possible since the classroom has a limited number of students, allowing the trainers to focus on each student’s performance and assess and guide them individually.Our competent educators will guide learners through every aspect of the Power BI programm, from beginner to advanced. START YOUR CAREER WITH THE POWER BI CERTIFICATION COURSE, WHICH WILL GET YOU A JOB OF 5 TO 12 LACS IN JUST 4 Months. Now is the time to enroll in Full stack POWER BI Developer course in  KPHB and improve your skills.


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What is Power BI?

Power BI is a set of software services, applications, and connections that work together to transform disparate data sources into coherent, visually engaging, and interactive insights. Your data might be in the form of an Excel spreadsheet or a combination of hybrid cloud-based and on-premises data warehouses. Power BI makes it simple to connect to your data sources, visualise and find what’s essential, and share it with anyone or whomever you want.

The parts of Power BI :

Power BI is made up of multiple components that all function together, beginning with the three fundamentals:
• Power BI Desktop, a Windows desktop application.
• The Power BI service, an online SaaS (Software as a Tool) service.
• Mobile Power BI applications for Windows, iOS, and Android smartphones.

These three components  – Power BI Desktop, the service, and the mobile apps are intended to allow you to generate, share, and consume business insights in the most effective way for you and your position.
Aside from those three, Power BI has two other features:
• Power BI Report Builder, which allows you to create paginated reports to share via the Power BI service. More on paginated reports may be found later in this article.
• Power BI Report Server, an on-premises report server where you can publish Power BI reports once they’ve been created in Power BI Desktop. More information regarding Power BI Report Server may be found later in this article.


Almost everything we use in our day-to-day life is now connected to power bi. power bi programming language continues to be one of the top technologies in the industries, and the job demand is significantly high. Are you eager to receive best power bi full stack training in Hyderabad You are in the right place. V CUBE is a Best Software Training Company in Hyderabad that offers the best software training. You might wonder why you have to choose V CUBE for power bi full stack course in hyderabad while there are so many institutes first let us brief you about our Software Training institute which is located is Kphb, Hyderabad. V CUBE is one of the best power bi full stack training institutes in Hyderabad we provide specialized in Various Software Courses along with power bi and power bi full stack developer.


This Power BI course is intended for those who wish to learn how to utilise the Power BI tools and generate customised visual reports. It is also appropriate for business intelligence and reporting experts, data analysts, and people dealing with data in any industry.

♦Overview of Data, Field, Record, Files, File Groups and database
♦ Limitations of File Management System.
♦Exploring Relational DBMS VS RDBMS
♦Understanding Client And Server Architecture

♦ First Normal Form, Second Normal Form, Third Normal and EF.Cod rules Form Practically
Normalizing Tables

♦ SQL Server Version history and different editions
♦ Overview of Components, Tools and Software Installations
♦ Starting and Stopping SQL Server Instances / Services
♦ Introduction to Management Studio
♦ Types of System Databases in SQL (Master, Model, MSDB, TempDB)

♦ Data types, Operators types of Operators
♦ Exploring Commands with Examples

♦ Primary Key, Unique, NULL, NOT NULL,CHECK, Default, Composite Key, Candidate Key and
Foreign key
♦ Real time scenarios to create database and Objects

♦ Understanding Select Statement \ Query Processing steps
♦Clauses (TOP, WHERE, GROUP BY, HAVING, Order By with Offset and fetch) with Operators
♦ CASE and IIF Statement

♦ Using String functions in Queries
♦ Count, Sum, Min, Max, Avg, Group by and Having Clauses
Date time Functions
♦ Windows Functions / Analytical Functions
♦ with Grouping sets, Rollup and Cube
♦ RANK Functions

♦Introduction of Set Operators and Types

♦Introduction of Sub query’s
♦Sub query’s, Co-Related Sub Query’s

♦Introduction to Joins and types
♦Inner Join / Left Outer Join / Right Outer Join / Full Outer Join /Self-Join /Cross Join

♦ Derived Tables , Table variables, CTE (Common Table Expressions),Temporary Tables (Local,Global)
♦ PIVOT / UNPIVOT, Temporal tables

♦ Heap structure vs. B-Tree Structure Format
Types Of indexes
♦ Clustered Index, Non-Clustered Index, Filter Index, Covering Index, Column Store index, Index Scan,
Index Seek, Index Re-Organize and Index -Rebuild

♦Introduction & Advantages of Views
♦Types of Views (Simple / Complex / Materialized)
♦Creating, Altering, Dropping Views
♦SQL Server Catalogue Views (System Defined Views

♦ACID Properties, ISOLATION Levels, Locks.

Power BI Complete Introduction
♦ Power BI Introduction, Brief History of Power BI, Data, Data Visualization, Reporting, Business Intelligence
  (BI), Traditional BI, Self-Serviced BI, Cloud Based BI, On Premise BPower BI Report Server, Power BI       Service,  Power BI Mobile, Paginated Reports
♦ Flow of Work in Power BI / Power BI Architecture
♦ Power BI Desktop Installation and Hands on practice

♦ Power BI Desktop Components (Power Query, Power Pivot, Power View, Power Map, Q&A, Data Gateway)
♦ Building Blocks of Power BI (Fields, Filters, Visualizations, Reports, Data, Model Dashboards and Tiles)
♦ Data Connectivity Modes (Import, Direct, Live & Composite Models)
♦ Get Data Connecting Multiple source and represent the data
♦ Overview of default and Custom visualizations
♦ Power BI Desktop User Interface.
♦ Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas, Visual Edit Interactions, Sync Slicer,
Selection Pane, Buttons, Book Marks, Conditional formatting.

♦ Report View User Interface Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas, Visual
Interactions, Interaction Type (Filter, Highlight, None) Visual Interactions Default Behavior, Changing the
♦ Filter Types, Visual Level Filters, Page Level Filters, Report Level Filters, Drill Through Filters,
♦ Filter Sub Types, Basic Filtering, Advanced Filtering, Top N, Relative Date Filtering
♦ Numeric field filters, Text field filters, Date and Time field Filters

Hierarchies and Drill-Down Reports
♦ Hierarchy Introduction, Default Date Hierarchy, Creating Hierarchy, Creating Custom Date Hierarchy,
Change Hierarchy Levels, Drill-Up and Drill-Down Reports, Data Actions, Drill Down, Drill Up, Show Next

Power BI Visualizations
♦ Visualizing Data, , Visualization types, Field Values, Visuals for Filtering, Visualizing, Categorical Data,
Visualizing Trend Data, Visualizing KPI Data, Visualizing Tabular Data, Visualizing Geographical Data,
Leveraging Power BI Custom Visuals

Visuals for Filtering
♦ Slicer / Sync Slicer Visualization, When to use a Slicer, Create and format Slicer Visualization, Hierarchy
Slicer (Custom Visualization), When to use a Hierarchy Slicer, Create and format Hierarchy Slicer,
Advantages of Hierarchy Slicer

Visualizing Categorical Data
♦ Create and Format Bar and Column Charts, Create and Format Stacked Bar Chart Stacked Column Chart,
Create and Format Clustered Bar Chart, Clustered Column Chart, Create and Format 100% Stacked Bar
Chart, 100% Stacked Column Chart, Create and Format Pie and Donut Charts, Create and Format the Tree
Map Visual, Create and Format Scatter Charts
Level, Expand Next Level, Drilling filters other visuals option

Visualizing Trend Data
♦ Line Chart, Area Charts, Create and Format Line Chart, Area Chart, Stacked Area Chart, Combo Charts,
Create and Format Line and Stacked Column Chart, Line and Clustered Column Chart, Create and Format
Ribbon Chart, Waterfall Chart, Funnel Chart

Visualizing KPI Data
♦ Create and Format Gauge Visual, KPI Visual, Create and Format Card Visualization, Multi Row Card

Visualizing Tabular Data, Geographical Data & R Script Visual
♦ Create and Format Table Visual, Matrix Visualization, Create and Format Map Visual, Filled Map Visual, Arc
GIS Maps Visual, Create and Format R Script Visual
♦Interview Questions Discussion and Practical Scenario based Tasks





Introduction to Power Query – Extract, Transform and Load (ETL)
♦ The Queries Pane, The Data View / Results Pane, The Query Settings Pane, Formula Bar, Advanced Editor –
Complete ETL Code.
♦ Overview of Power Query / Transform Editor
♦ Data types, Changing the Data type of a Column
♦ Filters in Power Query, Auto Filter / Basic Filtering, Filter a Column using Text Filters
♦ Filter a Columns using Number, Date and Text

Inbuilt Column Transformations
♦ Remove Columns / Remove Other Columns, Name / Rename a Column, Reorder Columns or Sort
Columns, Add Column / Custom Column, Split Columns, Merge Columns, PIVOT, UNPIVOT Columns,
Transpose Columns, Invoke functions

In built Row Transformations
♦ Header Row or Use First Row as Headers, Keep Top Rows, Keep Bottom Rows, Keep Range of Rows, Keep
Duplicates, Keep Errors, Remove Top Rows, Remove Bottom Rows, Remove Alternative Rows, Remove
Duplicates, Remove Blank Rows, Remove Errors, Group Rows / Group By

Combine Queries (Append Queries & Merge Queries)
♦ Append Queries, Append Queries as New, Append 2 or more files individually with different queries,
Appending multiple files of same type from a folder using single query, Query Options ,Copy Query, Paste
Query, Delete Query, Rename Query, Enable Load, Include in report Refresh ,Duplicate Query, Reference
Query, Move to Group, Move Up, Move Down

Merge Queries / Join Queries
♦Merge Queries, Merge Queries as New, Default Types of Joins / Join Kinds / Merge Type, Left Outer (all
from first, matching from second), Right Outer (all from second, matching from first), Full Outer (all rows
from both), Inner (only matching rows), Left Anti (rows only in first), Right Anti (rows only in second).

Grouping, Binning & Sorting
Grouping and Binning Introduction, Using grouping, Creating Groups on Text Columns, Using binning,
Creating Bins on Number Column and Date Columns, Sorting Data in Visuals, Changing the Sort Column,
Sort Order, Sort using column that is not used in the Visualization, Sort using the Sort by Column button.


Power BI Data Modeling – Relationship View
♦ Data Modeling Introduction
♦  Relationship, Need of Relationship
♦  Relationship Types / Cardinality in General
♦  One-to-One, One-to-Many (or Many-to-One), Many-to-Many
♦  AutoDetect the relationship, Create a new relationship, Edit existing relationships
♦  Make Relationship Active or Inactive
♦  Delete a relationship
♦  Cross filter direction (Single, Both), Assume Referential Integrity

Enhancing the Data Model – DAX
♦  Introduction of DAX, Calculated Columns, Measures, Example of Creating Calculated Columns, Creating
Measures and Calculated Tables, Implicit Vs Explicit Measures, Row Filter vs. Context filters, DAX
Operators, Types of Operators, Arithmetic Operators, Comparison Operators, Text Concatenation
Operator, Logical Operators.

DAX Functions Categories
♦ Date and Time Functions
♦  Text Functions
♦  Logical Functions
♦ Aggregate Functions
♦  Filter Functions
♦  Information Functions
♦ Relationship Functions
♦ Time Intelligence Functions
♦ Table Manipulation Functions

Date & Time Functions
♦ YEAR, MONTH, DAY, WEEKDAY, WEEKNUM, FORMAT (Text Function) a Month Name, Weekday Name
Date Dimension Table

Text Functions

Logical Functions

Aggregate Functions

Filter Functions

Information Functions
Relationship Functions

Time Intelligence Functions

Table Manipulation Functions

Power BI Service Introduction
♦ Power BI Service Introduction, Power BI Cloud Architecture, Creating Power BI Service Account, SIGN IN to
Power BI Service Account, Publishing Reports to the Power BI service, Import / Getting the Report to PBI
Service, My Workspace / App Workspaces Tabs, DATASETS, WORKBOOKS, REPORTS, DASHBOARDS,
Working with Datasets, Creating Reports in Cloud using Published Datasets, Power BI Datasets Live
Connection using Desktop, Working with Workbooks, working with Reports, Sharing Reports

Dashboards Development
♦ Creating Dashboards, Pin Visuals and Pin LIVE Report Pages to Dashboard, Advantages of Dashboards,
Interacting with Dashboards, Adding Tiles to Dashboards, Web Content, Image, Text Box, Video,
Formatting Dashboard, Sharing Dashboard

Data Gateways
♦ Introduction to Data Gateways, Download Data Gateway , Installing a Data Gateway, Types of Gateways,
On-premises Data Gateway(Standard Gateway), On-premises Data Gateway (personal mode\Private),Data
Gateways work Connect to an on premise Data Source by using a Data Gateway, Manage Data Gateway,
Add and Remove Administrators, Add Data Source, Add or Remove Users to a Data Source, Refresh On
Premise Data, Configuring Automatic Refresh using Schedules

Collaboration in Power BI using App Workspace
♦ Introduction to App Workspaces, Create an App Workspace, Add Members to App Workspace to
Collaborate, App Workspace Roles Access, Admin, Member, Contributor, Assign Workspace to
Deployment Pipelines.

Sharing Power BI Content using Apps and Content Packs
♦Introduction to App, Publish an App, Update a Published App, Organization, Specific individuals or group,
Un publishing an App, Content Pack Introduction, Create Content Pack, Sharing Content Packs, Specific
Groups, My Entire Organization

Row Level Security in Power BI (RLS)
♦ Introduction to Row Level Security, Row Level Security (RLS) with DAX Dynamic & Static, Manage Roles,
Creating Roles, Testing Roles, Adding Members to Roles in Power BI Service, Dynamic Row Level Security,
Creating Users Table and Adding to the Model, Capturing users using Username () or UserPrincipalName
() Functions.
Data Flows – Over view of Datasets & Data Flows.

Report Server, Report Builder
♦ Need for Report Server in PROD, Install, Configure Report Server, Report Server DB, Temp Database,
Web service URL, Web portal URL, Power BI DesktopRS, Uploading Interactive Reports, Report Builder,
Report Builder For Power BI Cloud, Designing Paginated Reports (RDL), Deploy to Power BI Report
Server, Data Source Connections, Report, Power BI Report Server to Cloud, Tenant IDs, Mobile Report
Real-time Projects on [Sales & Customers & Education] domains
Resume, Project Oriented FAQs and Solutions

Microsoft SQL Server is one the most popular Relational Database Management System (RDBMS) used in
Microsoft universe. It can be used for data storage as well as for data reading for applications which can be
either on desktop or API/Browse.

Course Objectives: Learn about SQL–Structured Query Language
♦ Build database using Data Definition Language Statements Perform basic CRUD operations using
Data Manipulation Language statements like Insert, Update and Delete Write and call Stored
Procedures, Functions, Triggers, Cursors and Optimizations techniques in a database.

Pre-requisite / Target Audience:
This sql server course can be taken by any beginner who wants to build career in Information Technology.
The subscriber needs to have working knowledge of Windows Operating System.

♦Variables Introduction & Types of Variables and Usage
♦IF – Else, While structure programs.
♦System functions

♦Introduction to stored procedures
♦Syntax of Creating, Executing, Altering, Dropping of Procedures
♦Input–Output and Optional Parameters
♦Procedure Optimization techniques
♦Error Handling in Stored Procedures
♦Stored procedures vs. User defined functions 

♦User Defined Functions and types Of UDF
♦Creating, Altering and Dropping Functions
♦Scalar Functions, Inline Table Valued Functions, Multi Statement Table Valued Functions

♦Introduction to triggers
♦Constraints vs Triggers
♦Creating, Altering, ♦Dropping triggers
♦Magic Tables
♦Instead of Triggers

♦Introduction of cursors , Advantages of cursors, Creating Cursors, Types of cursors, Locks on cursors

♦ Generating & executing SQL Script
♦Taking database Backup and Restoring database using backup

♦ Query Optimization Techniques and SQL Profiler Overview.

♦Introduction of SQL Server Agent
♦Create a Job and Schedule a time to Process data automatically



 ♦ Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper SQL Server 2008R2/2012/2015/2017 Integration Services (SSIS) – (ETL)
, pulvinar dapibus leo.

♦SSIS Package Architecture Overview
♦Installations of software’s and Overview of Utilization
♦Development and Management Tools
♦The Import and Export Wizard
♦SSIS Package Components

♦ Data Flow Overview, Data Sources ,Data Destinations, Data Flow Transformations, DataViewers

♦ Excel Source, Flat File Source, OLE DB Source, XML Source and Other Sources.

♦ Aggregate Transformation, Audit Transformation, Character Map Transformation, Conditional
Split Transformation, Copy Column Transformation, Derived Column Transformation, Data
Conversion Transformation, Multicast Transformation, OLE DB Command Transformation,
Percentage Sampling Transformation, Row Count Transformation, Sort Transformation, Union
All Transformation

♦ Lookup Transformation, Merge Transformation, Merge Join Transformation, Slowly Changing
Dimension Transformation, Pivot Transformation, Export Transformation, Import
Transformation, Unpivot Transformation.

♦ Excel Destination, Flat File Destination, OLE DB Destination, SQL Server Database Destination



♦ Control Flow Overview, Precedence Constraints, Execute SQL Task, Bulk Insert Task, File
System Task, FTP Task, Send Mail Task, Bulk Insert Task, Data Flow Task, Execute Package Task
♦ Execute Process Task, Web Service Task, XML Task

♦ For Loop Container, For Each Loop Container, Sequence Container

♦ Variables Overview, Variable scope, SSIS system variables, using variables in control flow,
using variables in data flow, using variables to pass information between packages.

♦ SSIS debugging overview, Breakpoints in SSIS, Event Handlers ,Configuring Package Logging

Introduction to SSIS scripting, SSIS script editor (C#)

Configurations and deployment utilities, Deployment options (Package / project).

♦ The SSIS Service, Managing packages with SQL Server Management Studio, Scheduling
packages with SQL Server Agent.

♦ SSIS ETL & DWH with STAR Schema, SSIS ETL & DWH with SNOWFLAKE Schema, Dimension
Table Design & Business Keys, Fact Table Design, Data Integrity, Incremental Data Loads with
Containers, Key Lookup and Business Key Identification, Staging Tables, Master – Child
Packages, SSIS Package Deployment [Catalog Deployments].

Project Specifications, Project Explanation and Solution, Project FAQs and Resume Support,
Chapter Wise FAQs and Answers, Concept Wise Tasks and Solutions, SSIS DWH Databases
with Reports, Technical Resume Points in SSIS, End to End Implementation [MSBI].


  • what is Cloud computing
  • what are services offering Microsoft azure
  • Advantages of cloud computing
  • Types of cloud deployments
  • Types of cloud Services
  • Microsoft Azure vs. AWS
  • How to Create Azure Account
  • Understand Azure Management Portal
  • Azure Architecture & Services
  • How to Create Resources and Resource Groups in Microsoft Azure
  • Azure Resource Manager vs. classic deployment
  • How to create Virtual Machine


  • Create a Storage Account
  • Blob, File, Queues, Tables, Security in Storage Account, Access keys, Share Access Signatures
  • Create Containers and Blobs
  • Install & Explore Azure Storage Explorer
  • Create SAS tokens and understand the benefits of SAS tokens
  • Copy Files from on pre Blob, File, Queues, Tables, Security in Storage Account, Access keys, Share Access Signatures
  • Create File Shares and sync the files
  • Create Tables using Storage Explorer
  • What is Azure SQL
  • Azure SQL Managed Instance, SQL in Virtual Machine
  • How to Create Database in Azure SQL Server
  • What is Elastic Pool in Azure SQL Data base
  • How to Query Azure SQL Server from On-premises SSMS and Cloud
  • What is Polybase in Azure SQL
  • What is an External table
  • How to Load Data from On-premises to Cloud SQL using data factory
  • Migration of Existing Data from on premises to SQL Azure
  • Azure Data Factory vs SSIS
  • Linked Services, Data Sets, Pipelines
  • Parameters vs Variables
  • Copy Data, Monitor Manage,
  • Different kinds of integration runtimes
  • How to create pipelines from template
  • How to configure different Integration Runtimes
  • Azure Integration runtime,
  • Azure Self Hosted Integration Runtime,
  • SSIS Integration runtime.
  • Move & transform, Copy Data, Append Variable, Execute Pipeline, Execute SSIS Package
  • Get Metadata, Lookup, Stored procedure, Set Variable, Delete, Wait, Until,
  • Iteration & Conditionals, Filter, For Each, If Condition, Until
  • Incremental Loading in Azure Data factory using Blob Storage to SQL Implementing Slowly changing Dimension Data Flow
  • Source, Lookup, Derived Column, Alter Row, Conditional Split, Sink
  • What are ARM Templates using for Deployment
  • How to Deploy Data Factory Pipelines DEV, Test, Prod environment
  • Version Control and Code Repository in Git Hub
  • Debugging and Monitoring Pipelines
  • Error handling and Logging error records
  • Lift and Shift SSIS packages in to Azure Data Factory.


  • Blob Storage vs Data Lake
  • What is Data Lake & Date Lake Gen1 Vs Gen2
  • How to store Data into data lake
  • How to Query data from Data Lake to SQL Server.
  • Introduction to Azure Data Lake U-SQL Batch Job
  • How to Schedule Data Lake Analytics Jobs using Data Factory
  • Azure Blob to Data Lake Gen 2 using Data Factory


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