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Intellipaat’s MSBI training in India is created by industry experts to help you master the three components of this BI tool, viz., SQL Server integration, analysis, and reporting. You will also learn different aspects of data modeling, multidimensional cube creation, slowly changing dimensions, and interactive dashboards through real-world case studies and projects. Get the best online MSBI course in India from certified MSBI instructors.
Intellipaat is one of the front runners in the industry known for providing the best and most comprehensive MSBI training in India. This is an instructor-led training course dedicated to providing hands-on experience in three different modules: SSIS, SSAS, and SSRS. This course helps you master data warehousing, Connection Managers, transformations, ETL solutions, and other significant Business Intelligence skills.
Anybody can take up this online training course and get trained in MSBI.
A MSBI Developer earns approximately ₹544,154 in India per year.
MSBI is one of the most trending streams in India, and Business Intelligence is something that can improve the performance of businesses. Hence, an increasing number of BI professionals are being recruited by top MNCs across the country. By obtaining a Microsoft BI certification in India, you can increase your chances of getting hired.
Information technology is one of the fastest-growing sectors in India. Hence, a lot of lucrative job opportunities are emerging every day for individuals with different skills. Microsoft Business Intelligence is increasingly becoming the most desirable job profile in India. Learn from Intellipaat’s MSBI course in India and get ahead in your career.
This MSBI certification training course in India provides around 60 hours of lab practice sessions and real-life projects to improve the hands-on experience of the learner. This training covers all topics needed to score high in the MCSE: Business Intelligence Certification exam.
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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
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
Analyzing Data with SQL Server Reporting Services
This course is designed for clearing the MCSE: Business Intelligence certification exam. You will receive the course completion certificate from Microsoft for Analyzing Data with SQL Server Reporting Services.
As part of this training, you will be working on real-time projects and assignments that have immense implications in 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 exam and help you score better.
Intellipaat’s course completion certificate will be awarded upon the completion of the project work (after expert review) and scoring at least 60 percent marks in the quiz. This certification is well-recognized by top MNCs such as Ericsson, Cisco, Cognizant, Sony, Wipro, Standard Chartered, TCS, Genpact, Tata Communications, etc.
Sameer Gupta
The best part of this Microsoft Business Intelligence training course from Intellipaat is that it can be taken by both beginners and professionals to gain immensely and succeed in their respective careers. The self-paced training course content is just remarkable.
I really loved the quality of the videos that came with Intellipaat’s MSBI training. Since I had enrolled in the self-paced training, the quality of the videos was really crucial, and Intellipaat did a good job of delivering what they had promised.
This training provides you with all skills needed to work with the Microsoft Business Intelligence stack. MSBI is a powerful suite of tools offering data mining queries and BI capabilities through Visual Studio deployment with SQL Server. The entire course content is in line with the requirements for clearing the MCSE: Business Intelligence certification exam.
You will be working on real-time MSBI 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.
Yes, Intellipaat provides other technical certification training courses in India such as Selenium, Salesforce, Power BI, Tableau, SQL, Informatica, Qlikview, ETL, etc.
Intellipaat has plenty of free learning materials to help you understand the basics of MSBI such as: What is MSBI? MSBI Tutorial, and MSBI Interview Questions.
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.
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