MSBI Course Online – Overview
Learn Microsoft Business Intelligence core concepts such as SSIS, SSRS, and SSAS architectures and their components. Furthermore, as this course curriculum is curated by industry experts, you will master skills that enable you to work with the Microsoft BI stack. Adding to this, you will gain in-depth knowledge in Data Warehousing, Connecting Managers, SQL server analysis, integration, ETL solutions, etc.
MSBI Training Course Online – Key Features
- Trusted content.
- Re-learn for free anytime in a year.
- Rigorous assignments and assessments.
- Learn at your own pace.
- Mandatory feedback sessions.
- Mock-interviews.
- Hands-on real-time experience.
- Free mentorship.
- Live chat for instant solutions.
- Job ready employees post-training.
- End-to-end training.
- Download the certificate after the course.
MSBI Certification Course Online – Benefits
The global market size of business is likely to grow from USD 23.1 billion to USD 33.3 billion by 2025 with a CAGR of 7.6%. So, one who does MSBI courses online may experience good career growth with amazing job opportunities.
Designation
Annual Salary
Hiring Companies
Job Wise Benefits
Designation
MSBI Developer
UK
Hiring Companies
MSBI Certification Online Course – Training Options
Microsoft Business Intelligence Training Course Online – Curriculum
Eligibility
Individuals or business intelligence professionals who are willing to upskill their knowledge of MSBI, software architects, data analysts, and ETL developers can register for this MSBI course online
Pre-requisites
Any graduate without any basic knowledge can join this MSBI course online and get trained in MSBI
Course Content
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Introduction to Business Intelligence, understanding the concept of Data Modeling, Data Cleaning, learning about Data Analysis, Data Representation, Data Transformation.
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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.
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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.
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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.
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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.
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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.
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Understanding how Fuzzy Lookup Transformation varies from Lookup Transformation, the concept of Fuzzy matching
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Learning about error rows configuration, package logging, defining package configuration, understanding constraints and event handlers.
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Get introduced to the SSRS Architecture, components of SSRS Report Building tool, learning about the data flow in different components.
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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.and Page Breaks.
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Learning about Parameters, filter and visibility expression, understanding drill-through and drill-down, defining variables, custom code.
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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.
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Learn how to build a Dashboard with Sparklines, Data Bars, Map Charts, Gauge Charts and drilling into reports, the basics of ad hoc reporting.
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Data Bar, Sparkline, Indicator, Gauge Chart, Map Chart, Report Drilling, What is Ad hoc reporting?
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Understanding Report Cache, Authorization, Authentication and Report Snapshot, learning about Subscriptions and Site Security.
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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.
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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.
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Hands-on Exercise – Create a Cube and name various columns Deploy a cube after applying keys and other rules Create reports with a cube
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Understanding Data Dimensions and its importance, the various relationships, regular, referenced, many to many, fact, working on Data Partitions, and Data Aggregations.
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Learning about SSAS Cube, the various types of Cubes, the scope of Cube and comparison with Data Warehouse.
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The various operations on Cube, the limitations of OLAP Cubes, the architecture of in-memory analytics and its advantages.
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Deploying cube with existing data warehouse capabilities to get self-service business intelligence, understanding how in-memory analytics works.
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Logical model of the schema used by the Cube, components of Cube, understanding Named Queries and Relationships.
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An overview of the Dimensions concept, describing the Attributes and Attributes Hierarchies, understanding Key/Value Pairs, Metadata Reload, logical keys and role-based dimensions.
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Understanding the Measure of Cube, analyzing the Measure, exploring the relationship between Measure and Measure Group, Cube features and Dimension usage
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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.
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Understanding Multidimensional Expressions language, working with MDX queries for data retrieval, working with Clause, Set, Tuple, Filter condition in MDX.
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Learning about MDX hierarchies, the functions used in MDX, Ancestor, Ascendant and Descendant function, performing data ordering
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Designing and publishing a tabular data model, Designing measures relationships, hierarchies, partitions, perspectives, and calculated columns
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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.
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Analyzing Data with SQL Server Reporting Services
MSBI Certification Online Training Program – FAQs
Yes, MSBI technology has a great future due to its enormous use in the business intelligence world. MSBI is a package of data visualization, data processing, reporting, analysis, etc. and it enables organizations to overcome the obstacles of complex business intelligence solutions.
MSBI includes tools such as SSAS (SQL Server Analytical Services), SSIS (SQL Server Integration Services), and SSRS (SQL Server Reporting Services). All these tools are used to turn mass data into digestible reports, spreadsheets, dashboards, graphs, or other formats.
Basic coding knowledge is essential in business intelligence in order to process data and produce meaningful insights. In the BI project lifecycle, you may need to put your coding skills in the data warehousing and data modeling stages. However, with the basic programming skills, anyone can learn MSBI and start their career in business intelligence.
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I've had great experience with Hatigen and the training delivered was great
Ben
First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts
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