Learn how to work on SSIS, SSAS, and SSRS, This course will lead you to master the MicrosoftBI platform. You can acquire hands-on expertise in data analysis and data integration, creating dashboards, data warehouses, data mining helps you become proficient with MSBI.
Business Intelligence (MSBI)
During this course tenure, you will learn how to analyze, integrate, and report to the SQL server.MSBI training will help you master Data Mining and Business Intelligence tools, you will also learn how to import, export wizards, data flow, and control flow tasks. The training injects you on how to work on ETL solutions, packages, OLAP, OLTP and configure with MSBI Tools. How to integrate various BI Tools to achieve a complete BI Solution. You can also learn about data migration techniques, data flow transformations, and control flow tasks, Multi-dimensional data modeling, representation, and data sources. You will be provided with access to learn about BI reports, dashboards, charts, Microsoft power view, and report building, Ad-hoc reporting, andData Visualization
Student Journey
Soon after enrolling in the course, you will be trained by professionals experienced with 15+ of experience. MSBI stands top among the BI tools available in today’s market, which leads to a wide range of opportunities. The training is designed for Data analysts, Software architects, BIProfessionals, ETL developers, and individuals looking to up-skill their knowledge in MSBI.Having a basic knowledge of SQL, DMDB(Data Modelling and Data Warehousing), RDBMS would be fetching in getting training with MSBI. (There are no specific pre-requisites for this training, anyone can get this course and get trained in MSBI).
Course Content
- Dimension Modeling & Data Ware Housing
- Basic concepts of Business Intelligence
- Basic concepts of Data Warehousing
- Designing facts and dimensions
- Employing key performance indicators
- Dimensional modeling process to design Data Warehouse
- Extract, Transform and Load (ETL) data – Covering various transformations
- Solve data management problems by migrating and processing data
- Demo on populating data into dimension and fact table using adventureworks data warehouse
- ETL Framework
- Enhance package functionality with scripting
- Implementing loops to import multiple files
- Handling errors and managing exception rows
- SSIS Package Performance Tuning & Best practices
- Deploy packages to an SSIS server
- Administering the storage, security and execution of packages
- Producing table and matrix report with drill down and drill through functionality
- Produce reports with enhanced visualization features such as charts, map and gauge
- Integrate parameters, filters and interactive components into reports
- Create reports on SSAS cubes with Report Builder
- Deploying reports to the Report Server
- Creating cached instances, snapshots and subscriptions
- Configuring and testing security on report items
- Report performance tuning
- Creating and deploying a cube
- Extend hierarchies and exploit advanced dimension relationships
- Configuring many-to-many dimension relationships
- Building aggregations with the Aggregation Design Wizard
- Implement Key Performance Indicators to monitor business objectives
- Cube storage mode - MOLAP, ROLAP and HOLAP
- Implementing an action to open a Reporting Services report or to analyze data using Excel
- Automating cube processing with an XMLA script
- Basics of in memory processing
- Multiple dimensional model vs. tabular analysis model
- Creating and deploying a tabular analysis cube
- Building hierarchy and dimension relationship
- Implement Key Performance Indicators to monitor business objectives
- Query language DAX
- Basics of MDX
- Working with Sets
- Working with Calculations
- Working with Hierarchical Calculations
- Working with Time Intelligence functions like QTD, YTD
- Deploying calculations
- Perform Power BI desktop data transformation
- Describe Power BI desktop modelling
- Create a Power BI desktop visualization
- Implement the Power BI service
- Describe how to connect to Excel data
- Describe how to collaborate with Power BI data
- Connect directly to data stores
