About this Course

Course Overview: The BI Intelligence course is designed to empower students with the essential tools and knowledge required in the rapidly evolving domain of Business Intelligence. Covering T-SQL, SSIS, PowerBI, Azure, and Snowflake, this comprehensive course will equip participants with the skills needed to harness, analyze, and visualize data, enabling informed business decision-making.

Course Breakdown:

1. Introduction to Business Intelligence (BI)

– Definition and Importance of BI

– Historical Overview and Evolution – BI in Modern Enterprises

2. T-SQL (Transact-SQL)

– Introduction to T-SQL and Its Role in BI

– Basic Queries: SELECT, INSERT, UPDATE, DELETE

– Advanced Queries: JOINs, CTEs, Window Functions

– Stored Procedures, Functions, and Triggers

– Performance Tuning and Optimization

3. SSIS (SQL Server Integration Services)

– SSIS Architecture and Components

– Designing and Implementing ETL Workflows

– Error Handling and Debugging

– Deploying and Managing SSIS Packages

– Advanced Transformations and Dynamic Package Generation

4. PowerBI

– Introduction to Data Visualization

– PowerBI Desktop and Service Overview

– Building Interactive Dashboards and Reports

– DAX (Data Analysis Expressions)

– Data Modeling and Power Query

– Integration with other Tools and Advanced Features

5. Azure for BI – Introduction to Azure’s BI Landscape

– Azure Data Factory: Orchestration and ETL

– Azure Analysis Services: Enterprise-grade Analytics

– Azure Data Lake: Big Data Storage Solutions

– Security, Monitoring, and Management in Azure BI Tools

6. Snowflake

– Introduction to Snowflake Cloud Data Platform

– Snowflake’s Architecture and Core Concepts

– Data Loading and Unloading

– Snowflake for BI: Aggregations, Joins, and More

– Snowflake’s Elasticity, Performance, and Cost Management