Introduction to Business Intelligence, understanding the concept of Data Modeling, Data Cleaning, learning about Data Analysis, Data Representation, Data Transformation.
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.
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.
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.
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.
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.
Understanding how Fuzzy Lookup Transformation varies from Lookup Transformation, the concept of Fuzzy matching,
Learning about error rows configuration, package logging, defining package configuration, understanding constraints and event handlers.
Get introduced to the SSRS Architecture, components of SSRS Report Building tool, learning about the data flow in different components.
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.
Learning about Parameters, filter and visibility expression, understanding drill-through and drill-down, defining variables, custom code.
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.
Learn how to build a Dashboard with Sparklines, 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?
Understanding Report Cache, Authorization, Authentication and Report Snapshot, learning about Subscriptions and Site Security.
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
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, Identification and Keywords in T-SQL, Drop Table
Introduction to relational databases, basic concepts of relational tables, working with rows and columns, various operators used like logical and relational, domains, constraints, stored procedures, indexes, primary key and foreign key, understanding group functions, unique key
Deep dive into SQL Tables, working with SQL functions, operators and queries, creation of tables, retrieving data from tables, combining rows from tables using Inner, Outer, Cross and Self joins, deploying Operators like Union, Intersect, Except, creation of Temporary Table, Set Operator rules, working with Table variables
Understanding what SQL functions do, aggregate functions, scalar functions, functions that work on different data sets like numbers, characters & strings, dates, learning Inline SQL functions, general functions and duplicate functions
Understanding of SQL Subqueries, rules of Subqueries, the statements and operators with which Subqueries can be used, modification of sub queries using set clause, understanding the different types of Subqueries – Where, Insert, Update, Select, Delete, etc., ways to create and view sub-queries
Learning about SQL Views, ways of creating, using, altering, dropping, renaming and modifying Views, understanding Stored Procedures, key benefits of it, working with Stored Procedures, error handling, studying user-defined functions
Detailed study of user-defined functions, various types of UDFs like Scalar, Inline Table Value, multi-statement Table, what are Stored Procedures? when to deploy Stored Procedures? What is Rank Function? Triggers, when to execute Triggers?
Detailed understanding of SQL Server Management Studio, learning what is Pivot in Excel and SQL Server, XL path, differentiating between Char, Varchar and NVarchar, working with Indexes, creation of Index, advantages, records grouping, searching, sorting, modifying data, creation of clustered indexes, using index to cover queries, index guidelines and Common Table Expression
Create Transact SQL Queries, Query multiple tables by using joins, implementing functions and aggregate data, modifying data, determining the results of DDL statements on supplied tables and data, and constructing DML statements using OUTPUT statement
Query data by using subqueries and APPLY, querying data by using table expressions, group and pivot data by 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
Create database programmability objects by using T-SQL, implement error handling and transactions, implement transaction control in conjunction with error handling in stored procedures, and implement data types and NULL
Design and implement a relational database schema, design and implement indexes, distinguish between indexed and included columns, implementing clustered index, designing and implementing views, implementing column store views
Project 1 : Configuration and Logging
Industry : General
Problem Statement : How to integrate data from multiple sources into the SQL Server
Topics : In this SQL Server Integration Services (SSIS) project you will extensively work on multiple data from heterogeneous source into SQL Server. As part of the project you will learn to clean and standardize data and automate the administrative work. Some of the tasks that you will be performing are adding logs to SSIS package, configuration and saving it to an XML file. Upon completion of the project you will have hands-on experience in handling constraints, error row configuration and event handlers.
Project 2 – SSAS Cube Using BI Data Tools 2012
Industry : Sales
Problem Statement : How to create the SSAS Cubes for faster reporting
Topics – In this project you will be work on large volume of data and use it for creating reports and dashboards for sales performance in order to derive valuable insights. You will deploy the sales database in sql server and build SSAS Cubes. Upon completion of the project you will be well-versed to work in a real world business scenario to analyze various parameters and instances in order to derive business insights.
Project 3 – Building Dashboard
Data – Sales
Topics – In this project you will be working on SQL Server Reporting Services (SSRS) and deploying it for building dashboards in a business environment. The Business Intelligence Report that you create will be used to calculate sales based on the years and currencies that you choose. Some of the tasks that you will be performing as part of this project are – design and create Gauge and Map Charts, Spark lines and Data Bar and perform drill-through Reports, and ad hoc Reporting.
Project : Writing complex Sub Queries
Industry : General
Problem Statement : How to create sub queries using SQL
Topics : This project will give you hands-on experience in working with SQL sub-queries and utilizing it in various scenarios. Some of the sub-queries that you will be working with and gain hands-on experiences in are – IN or NOT IN, ANY or ALL, EXISTS or NOT EXISTS, and other major queries.
Project 2 :Querying a large relational database
Industry : General
Problem Statement : How to get details about customers by querying the database
Description : In this project you will work on downloading a database and restoring it on the server. You will then query the database to get customer details like name, phone number, email id, sales made in a particular month, increase in month-on-month sales and even total sales made to a particular customer.
Project 3 : Relational database design
Industry : General
Problem Statement : How to convert a relational design into a table in SQL Server
Topics : In this project you will work on converting a relational design that has enlisted within it the various users, user roles, user accounts and their statuses. You will create a table in SQL Server and insert data into it. With at least 2 rows in each of the tables, you have to ensure that you have created respective foreign keys.
This Intellipaat MSBI and SQL training will let you master the three vital components of Microsoft Business Intelligence, namely, SSIS, SSAS, and SSRS, that use the SQL Server. You will master the concepts of the Extract-Transform-Load, and SQL integration, analysis, and reporting techniques in a business enterprise scenario. This entire course content is in line with the requirements of clearing the MCSE: Business Intelligence Certification, the Microsoft 70-761 SQL Server Certification Exam, and the Microsoft 70-762 SQL Server Certification Exam.
You will be working on real-time MSBI and 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.
This course is designed for clearing the following exams:
You will also receive the course completion certificate by Microsoft for ‘Analyzing Data with SQL Server Reporting Services’ and ‘Querying Data with Transact-SQL’.
The entire course content is in line with the certification program and helps you clear the certification exam with ease and get the best jobs in top MNCs.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the certification exams and help you score better.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.