MSBI and SQL Training: Combo Course

BY
Microsoft Corporation via Intellipaat

Scale up your skills by mastering MSBI and SQL together and latch onto desired job opportunity through the online certification course by Intellipaat.

Mode

Online

Fees

₹ 13281

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekends

Course overview

Microsoft Business Intelligence and Structured Query Language both form the foundation for business intelligence and database management respectively. As the benefits of opting for the technologically advanced software are more than opting for the traditional practices the demand for skilled professionals is increasing rapidly. MSBI includes tools that help in providing the best possible solution for Data Mining Queries and Business Intelligence. In addition to this MSBI tool also uses SQL server and  Visual studio. On the other hand, SQL is used for communication with databases, it manipulates databases and has become the standard language according to ANSI. MSBI and SQL Training: Combo Course certification by Intellipaat shall train learners in both MSBI and SQL effectively and thus help them to land a desirable job opportunity. 

MSBI and SQL Training: Combo Course comprises self-paced videos, instructor-led training, and projects for the overall development of the learner. With 24*7 mentor support, the learner shall be trained to become an asset to the company. The additional benefits of the platform ensure comprehensive learning and development of the learner. The candidate shall receive MSBI and SQL Training: Combo Course certification after completion of the course by Intellipaat. 

The highlights

  • 100% online course 
  • 46 hours self-paced videos 
  • 46 hours instructor-led training
  • 92 hours project and exercises 
  • Certification 
  • 6 real-life projects
  • Flexible schedule 
  • Job assistance

Program offerings

  • Online course
  • Self-paced videos
  • Instructor-led training
  • Project learning
  • Video demonstration
  • Assessments
  • Certification
  • Job assistance
  • Collaborative learning

Course and certificate fees

Fees information
₹ 13,281

Intellipaat offers three distinct learning modes to the learners for MSBI and SQL Training: Combo Course. The first is the self-paced learning mode that allows the candidate to learn at their convenient time and place. The second mode is the online classroom training mode that creates a virtual learning environment for the learners by organizing classes. The third mode is corporate training which is for the organization to enhance the skills of their employees. An individual can either opt for self-paced learning mode and online classroom training mode and can pay MSBI and SQL Training: Combo Course certification fee at the time of registration. After completing the application process and receiving the confirmation mail from Intellipaat learner can start with the course. For the detailed fee structure refer to the table below. 

Fee structure for MSBI and SQL Training: Combo Course

Course name 

Fee in INR

MSBI and SQL Training: Combo Course self-paced course

Rs. 13,281

MSBI and SQL Training: Combo Course online classroom training

Rs. 22,002

MSBI and SQL Training: Combo Course corporate learning 

 -

certificate availability

Yes

certificate providing authority

Microsoft Corporation +1 more

Who it is for

The MSBI and SQL Training: Combo Course certification benefits software developersdata analystsproject managers, and Business Intelligence professionals by enhancing their skills and knowledge of MSBI and SQL. The learner, after completing the course can latch onto the desirable opportunity. 

Eligibility criteria

Though there are no such mandatory prerequisites for the course, understanding RDBMS shall be advantageous while taking up MSBI and SQL Training: Combo Course classes. 

Certification Qualifying Details

MSBI and SQL Training: Combo Course syllabus is divided into topics of SSIS, SSAS, SSRS, and SQL. Further, the topics are divided into modules that provide minute details of every topic. Besides this, the course also includes six real-life-based projects. The learner can also present their projects at hackathons or technical events with the help of peer learning. It is the feature to interact with the seniors and be updated about the events. Moreover, if the learner has raised any query or doubt one can contact the mentors who are available 24*7 for their support. The learner must complete the assessments and project to receive MSBI and SQL Training: Combo Course certification from Intellipaat. 

What you will learn

Sql knowledge

MSBI and SQL Training: Combo Course certification syllabus is designed to give comprehensive knowledge of components like SSIS, SSRS, and SSAS that use SQL Server. Besides this, the course shall also help the learner to understand concepts like MSBI, analytics,  ETL tasks, reporting, and data integration. The reading material by Microsoft is also made available for the learners of SQL to gain a firm understanding of the concept. The learner shall be proficient in the following tasks after completing this course. 

  • Introduction to Microsoft Business Intelligence
  • Various steps of the ETL process
  • Data modeling, transformation, and representation
  • Using SSIS for multidimensional modeling and transformation
  • Creating charts, reports, and dashboards with SSRS
  • SSRS architecture and components
  • Generating new Cubes and data sources
  • Working with SSAS for OLAP of database
  • SSAS relationship types definition

The syllabus

MSBI SSIS Course Content

What is BI?
  • Introduction to Business Intelligence
  • Understanding the concept of Data Modeling
  • Data Cleaning
  • Learning about Data Analysis
  • Data Representation
  • Data Transformation
ETL Overview
  • Introduction to ETL
  • The various steps involved Extract
  • Transform, Load
  • Using a user’s email ID to read a flat file
  • Extracting the User ID from email ID
  • Loading the data into a database table
Working with Connection Managers
  • Introduction to Connection Managers – logical representation of a connection
  • The various types of Connection Managers – Flat file, database
  • Understanding how to load faster with OLE DB
  • Comparing the performance of OLE DB and ADO.net
  • Learning about Bulk Insert
  • Working with Excel Connection Managers and identifying the problems
Data Transformations
  • Learning what is Data Transformation
  • Converting data from one format to another
  • Understanding the concepts of Character Map
  • Data Column and Copy Column Transformation
  • Import and export column transformation
  • Script and OLEDB Command Transformation
  • Understanding row sampling
  • Aggregate and sort transformation
  • Percentage and row sampling
Advance Data Transformation
  • Understanding Pivot and UnPivot Transformation
  • Understanding Audit and Row Count Transformation
  • Working with Split and Join Transformation
  • Studying Lookup and Cache Transformation
  • Integrating with Azure Analysis Services
  • Elastic nature of MSBI to integrate with the Azure cloud service
  • Scale out deployment option for MSBI
  • Working with cloud-borne data sources and query analysis
  • Scaling out the SSIS package
  • Deploying for tighter windows
  • Working with larger amount of data sources
  • SQL Server vNext for enhancing SQL Server features
  • More choice of development languages and data types both on-premise and in the cloud
Slowly Changing Dimensions
  • Understanding data that slowly changes over time
  • Learning the process of how new data is written over old data
  • Best practices
  • Detail explanation of three types of SCDs –Type1, Type2 and Type3, and their differences
Overview of Fuzzy Look-up Transformation and Lookup and Term Extraction
  • Understanding how Fuzzy Lookup Transformation varies from Lookup Transformation
  • The concept of Fuzzy matching
Concepts of Logging & Configuration
  • Learning about error rows configuration
  • Package logging, defining package configuration
  • Understanding constraints and event handlers

MSBI SSRS Course Content

Introduction to SSRS
  • Get introduced to the SSRS Architecture
  • Components of SSRS Report Building tool
  • Learning about the data flow in different components
Matrix and Tablix Overview
  • Understanding the concepts of Matrix and Tablix
  • Working with Text Box, learning about formatting
  • Row/column grouping
  • Understanding sorting
  • Formatting
  • Concepts of Header
  • Footer
  • Totals
  • Subtotals and Page Breaks
Parameters and Expression
  • Learning about Parameters
  • Filter and visibility expression
  • Understanding drill-through and drill-down
  • Defining variables
  • Custom code
Reports and Charts creation
  • Introduction to various aspects of Bar Chart, Line Chart
  • Combination Chart, Shape Chart
  • Sub Reports
  • Integration of Power Query and M language with SSRS
  • Working with additional data sources in MSBI
  • Rich transformation capabilities addition to MSBI
  • Reusing M functions build for PBIX in SSRS
Dashboard Building
  • Learn how to build a Dashboard with Sparkline
  • Data Bars
  • Map Charts
  • Gauge Charts and drilling into reports
  • The basics of ad hoc reporting
  • Data Bar
  • Sparkline
  • Indicator
  • Gauge Chart
  • Map Chart
  • Report Drilling
  • What is Ad hoc reporting?
Reports and Authenticity
  • Understanding Report Cache
  • Authorization
  • Authentication and Report Snapshot
  • Learning about Subscriptions and Site Security

MSBI SSAS Course Content

Getting started with SSAS
  • 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
Structures and Processes
  • 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
Structures and Processes-Hands-on Exercise
  • Create a Cube and name various columns 
  • Deploy a cube after applying keys and other rules 
  • Create reports with a cube
Type of Database Relationship
  • Understanding Data Dimensions and its importance
  • The various relationships
  • Regular
  • Referenced
  • Many to many
  • Fact
  • Working on Data Partitions and Data Aggregations
SSAS Cube
  • Learning about SSAS Cube
  • The various types of Cubes
  • The scope of Cube and comparison with Data Warehouse
Cube: Operations & Limitations
  • The various operations on Cube
  • The limitations of OLAP Cubes
  • The architecture of in-memory analytics and its advantages
Cube and In-memory Analytics
  • Deploying cube with existing data warehouse capabilities to get self-service business intelligence
  • Understanding how in-memory analytics works
Cube and In-memory Analytics-Hands-on Exercise
  • Deploy cube to get self-service business intelligence
Data Source View
  • Logical model of the schema used by the Cube
  • Components of Cube
  • Understanding Named Queries and Relationships
Dimensions
  • An overview of the Dimensions concept
  • Describing the Attributes and Attributes Hierarchies
  • Understanding Key/Value Pairs
  • Metadata Reload
  • Logical keys and role-based dimensions
Dimensions-Hands-on Exercise
  • Create role based dimensions 
  • Use Attributes Hierarchies
Measures & Features of Cube
  • Understanding the Measure of Cube
  • Analyzing the Measure
  • Exploring the relationship between Measure and Measure Group
  • Cube features and Dimension usage
Measures and Features of Cube Cont.
  • 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
Measures and Features of Cube Cont.-Hands-on Exercise
  • Work with Cube Measures
  • Deploy analytics
  • Deploy actions and drill-through actions on data
  • Make data partitions
Working with MDX
  • Understanding Multidimensional Expressions language
  • Working with MDX queries for data retrieval
  • Working with Clause, Set, Tuple, Filter condition in MDX
Working with MDX-Hands-on Exercise
  • Apply Clause
  • Set and filter condition in MDX query to retrieve data
Functions of MDX
  • Learning about MDX hierarchies
  • The functions used in MDX
  • Ancestor
  • Ascendant and Descendant function
  • Performing data ordering
Functions of MDX-Hands-on Exercise
  • Create MDX hierarchies
  • Perform data ordering in ascending order
  • In descending order
DAX language
  • Data Analysis Expressions (DAX)
  • Using the EVALUATE and CALCULATE functions
  • Filter DAX queries
  • Create calculated measures
  • Perform data analysis by using DAX
DAX language-Hands-on Exercise
  • Use the EVALUATE and CALCULATE functions
  • Filter DAX queries
  • Create calculated measures
  • Perform data analysis by using DAX
BI Semantic Model
  • Designing and publishing a tabular data model
  • Designing measures relationships
  • Hierarchies
  • Partitions
  • Perspectives
  • And calculated columns
BI Semantic Model-Hands-on Exercise
  • Design and publish a tabular data model
  • Design measures relationships
  • Hierarchies
  • Partitions
  • Perspectives
  • And calculated columns
Plan and deploy SSAS
  • 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.
Plan and deploy SSAS-Hands-on Exercise
  • Configure and maintain SQL Server Analysis Services (SSAS)
  • Monitor and optimize performance
Analyzing Big Data with Microsoft R
  • 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
Analyzing Big Data with Microsoft R-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
Microsoft Courses
  • Analyzing Data with SQL Server Reporting Services

SQL Course Content

Introduction to SQL
  • Various types of databases
  • Introduction to Structured Query Language
  • Distinction between client server and file server databases
  • Understanding SQL Server Management Studio
  • SQL Table basics
  • Data types and functions
  • Transaction-SQL
  • Authentication for Windows
  • Data control language
  • And the identification of the keywords in T-SQL such as Drop Table
Database Normalization and Entity Relationship Model
  • Data Anomalies
  • Update Anomalies
  • Insertion Anomalies
  • Deletion Anomalies
  • Types of Dependencies
  • Functional Dependency
  • Fully functional dependency
  • Partial functional dependency
  • Transitive functional dependency
  • Multi-valued functional dependency
  • Decomposition of tables
  • Lossy decomposition
  • Lossless decomposition
  • What is Normalization?
  • First Normal Form
  • Second Normal Form
  • Third Normal Form
  • Boyce-Codd Normal Form(BCNF)
  • Fourth Normal Form
  • Entity-Relationship Model
  • Entity and Entity Set
  • Attributes and types of Attributes
  • Entity Sets
  • Relationship Sets
  • Degree of Relationship
  • Mapping Cardinalities
  • One-to-One
  • One-to-Many
  • Many-to-one
  • Many-to-many
  • Symbols used in E-R Notation
SQL Operators
  • Introduction to relational databases
  • Fundamental concepts of relational rows tables and columns
  • Several operators (such as logical and relational)
  • Constraints
  • Domains
  • Indexes
  • Stored procedures
  • Primary and foreign keys
  • Understanding group functions
  • The unique key, etc
Working with SQL: Join, Tables, and Variables
  • Advanced concepts of SQL tables
  • SQL functions
  • Operators & queries
  • Table creation
  • Data retrieval from tables
  • Combining rows from tables using inner, outer, cross, and self joins
  • Deploying operators such as ‘intersect,’ ‘except,’ ‘union'
  • Temporary table creation
  • Set operator rules
  • Table variables, etc
Deep Dive into SQL Functions
  • Understanding SQL functions – what do they do?
  • Scalar functions
  • Aggregate functions
  • Functions that can be used on different datasets, such as numbers, characters, strings, and dates
  • Inline SQL functions
  • General functions and duplicate functions
Working with Subqueries
  • Understanding SQL subqueries, their rules
  • Statements and operators with which subqueries can be used
  • Using the set clause to modify subqueries
  • Understanding different types of subqueries such as where, select, insert, update, delete, etc.
  • Methods to create and view subqueries
SQL Views, Functions, and Stored Procedures
  • Learning SQL views
  • Methods of creating, using, altering, renaming, dropping, and modifying views
  • Understanding stored procedures and their key benefits
  • Working with stored procedures
  • Studying user-defined functions and error handling
Deep Dive into User-defined Functions
  • User-defined functions
  • Types of UDFs such as scalar, inline table value, multi-statement table, stored procedures and when to deploy them
  • What is rank function?
  • Triggers and when to execute triggers?
SQL Optimization and Performance
  • SQL Server Management Studio using pivot in MS Excel and MS SQL Server
  • Differentiating between Char, Varchar, and NVarchar
  • XL path, indexes and their creation
  • Records grouping, advantages, searching, sorting, modifying data
  • Clustered indexes creation
  • Use of indexes to cover queries
  • Common table expressions, and index guidelines
Managing Data with Transact-SQL
  • Creating Transact-SQL queries
  • Querying multiple tables using joins
  • Implementing functions and aggregating data
  • Modifying data
  • Determining the results of DDL statements on supplied tables and data and constructing DML statements using the output statement
Querying Data with Advanced Transact-SQL Components
  • Querying data using subqueries and APPLY
  • Querying data using table expressions
  • Grouping and pivoting data using queries
  • Querying temporal data and non-relational data
  • Constructing recursive table expressions to meet business requirements and using windowing functions to group and rank the results of a query
Programming Databases Using Transact-SQL
  • Creating database programmability objects by using T-SQL
  • Implementing error handling and transactions
  • Implementing transaction control in conjunction with error handling in stored procedures and implementing data types and NULL
Designing and Implementing Database Objects
  • Designing and implementing relational database schema
  • Designing and implementing indexes
  • Learning to compare between indexed and included columns
  • Implementing clustered index and designing and deploying views and column store views
Implementing Programmability Objects
  • Explaining foreign key constraints
  • Using T-SQL statements
  • Usage of Data Manipulation Language (DML)
  • Designing the components of stored procedures
  • Implementing input and output parameters
  • Applying error handling
  • Executing control logic in stored procedures and designing trigger logic
  • DDL triggers, etc
Managing Database Concurrency
  • Applying transaction
  • Using the transaction behavior to identify DML statements
  • Learning about implicit and explicit transactions
  • Isolation levels management
  • Understanding concurrency and locking behavior and using memory-optimized tables
Optimizing Database Objects
  • Accuracy of statistics
  • Formulating statistics maintenance tasks
  • Dynamic management objects management
  • Identifying missing indexes
  • Examining and troubleshooting query plans
  • Consolidating the overlapping indexes
  • The performance management of database instances and SQL server performance monitoring
Advanced Topics
  • Corelated Subquery
  • Grouping Sets
  • Rollup
  • Cube
Advanced Topics-Hands-on Exercise
  • Implementing Corelated Subqueries
  • Using EXISTS with a Correlated subquery
  • Using Union Query
  • Using Grouping Set Query
  • Using Rollup
  • Using CUBE to generate four grouping sets
  • Perform a partial CUBE.
Microsoft Courses: Study Material
  • Performance Tuning and Optimizing SQL Databases
  • Querying Data with Transact-SQL

Admission details

To get admission to MSBI and SQL Training: Combo Course online follows the steps mentioned below. 

Step 1: Visit the Intellipaat portal or click on the link https://intellipaat.com/msbi-sql-training/.  

Step 2: Click on the ‘Enroll Now’ Tab and add the course to the cart. 

Step 3: Go to the edit cart section, choose the learning mode (self-paced learning, online classroom training) and fill in the required details. 

Step 4: Pay the MSBI and SQL Training: Combo Course certification fee through online mode. 

Step 5: Start learning extensively about MSBI and SQL. 

How it helps

Intellipaat has made its name among the provider of online courses because of its unique features and overall development of the learner. The combo course for SQL and MSBI is designed because of the growing demand for skilled professionals in the domain. The practical and theoretical training shall help the learner to build expertise in MSBI and SQL. These two form the foundational language that can yield a successful career to the learner. Few benefits of the certification by Intellipaat are mentioned below. 

  • A learner can latch onto desirable job opportunities from the course. 
  • The peer learning feature can help the learner to present their project at hackathons or any other technical by keeping them updated about the events. 
  • The job assistance feature shall help the learner to enhance their soft skills and also prepares them for the interview. The experts shall also prepare an impressive resume for them. 
  • Individual practical experience of  SSIS, SSAS, and SSRS. 
  • Projects on the case study of SSIS, SSAS, SSRS. 
  • Options to choose the desirable learning mode and easily switch it to another if the learner did not find it convenient. 
  • 24*7 support from the mentors for the learners. 
  • The certification received after completing the course by Intellipaat is recognized in 80+MNCs and many corporate companies. 

FAQs

How many projects are associated with the MSBI and SQL Training: Combo Course online?

There are 6 projects of SSIS, SSAS, and SSRS that are associated with the course and must be completed by the learner. 

What is the benefit of choosing an online classroom?

There are many perks of choosing an online classroom like the content provided is in self-paced learning,  there shall be 46 Hrs of instructor-led training, also one to one doubt resolution sessions for the learners. Besides this, one can attend as many batches as they want for a lifetime. 

What is the duration of the course?

The duration of the course is 184 hours which comprises self-paced videos, instructor-led training, projects, and assessments. 

Who issues the certificate after the completion of the course?

Intellipaat issues the certificate after the completion of the course.

Is there any extra reading material for the course?

The course provides reading material from Microsoft about SQL to the learners.

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