SQL Server Business Intelligence Solutions for Data-Driven Enterprises Training Course

Introduction

In today’s competitive business environment, organizations must rely on advanced tools to turn raw data into actionable insights. SQL Server Business Intelligence (BI) applications provide a powerful platform for data integration, reporting, analytics, and visualization, enabling enterprises to make smarter, faster, and more informed decisions. With its robust features for ETL, data warehousing, OLAP, and reporting, SQL Server BI continues to be a top choice for professionals seeking comprehensive BI solutions.

This training course equips participants with the knowledge and practical expertise to design, implement, and manage SQL Server BI applications effectively. Learners will explore real-world BI scenarios, covering data modeling, SSIS (SQL Server Integration Services), SSRS (SQL Server Reporting Services), and SSAS (SQL Server Analysis Services). By the end of the program, participants will be able to transform business data into powerful dashboards, reports, and analytical solutions that drive enterprise growth.

Duration: 10 Days

Target Audience

  • Business intelligence analysts and developers
  • Database administrators and data engineers
  • IT professionals managing enterprise data systems
  • Reporting specialists and data visualization professionals
  • Managers seeking SQL Server BI insights for strategic decisions

10 Objectives

  1. Understand the core architecture of SQL Server BI applications
  2. Apply SQL Server Integration Services (SSIS) for ETL processes
  3. Design and deploy multidimensional models using SSAS
  4. Develop dynamic and interactive reports with SSRS
  5. Implement data warehousing solutions with SQL Server
  6. Optimize BI applications for performance and scalability
  7. Apply advanced querying techniques for analytics
  8. Integrate SQL Server BI with other business tools
  9. Secure, monitor, and manage BI environments
  10. Deliver real-world BI projects through hands-on learning

15 Course Modules

Module 1: Introduction to SQL Server BI

  • Overview of SQL Server BI stack
  • Importance of BI in modern enterprises
  • SQL Server tools for BI implementation
  • BI lifecycle and methodologies
  • Business use cases for SQL Server BI

Module 2: SQL Server Architecture for BI

  • Core SQL Server architecture
  • Data storage and processing layers
  • SQL Server editions for BI
  • Configuring SQL Server for BI workloads
  • Understanding SQL Server services

Module 3: Data Warehousing Fundamentals

  • Concepts of data warehousing
  • Star and snowflake schema design
  • Data staging and ETL principles
  • Building data marts
  • Best practices in data warehousing

Module 4: SQL Server Integration Services (SSIS) Basics

  • Introduction to SSIS
  • ETL workflows in SSIS
  • Control flow and data flow tasks
  • Handling errors in ETL processes
  • Deploying and managing SSIS packages

Module 5: Advanced SSIS Techniques

  • Transformations in ETL
  • Dynamic configurations in SSIS
  • Performance tuning ETL packages
  • Integrating multiple data sources
  • Automation of ETL workflows

Module 6: SQL Server Analysis Services (SSAS) Introduction

  • Basics of OLAP and multidimensional analysis
  • Creating cubes in SSAS
  • Dimension and measure groups
  • Deploying SSAS solutions
  • Exploring data with OLAP tools

Module 7: Advanced SSAS Techniques

  • MDX (Multidimensional Expressions) queries
  • Calculated measures and KPIs
  • Advanced cube design
  • Partitioning and aggregations
  • Security in SSAS cubes

Module 8: SQL Server Reporting Services (SSRS) Basics

  • Introduction to SSRS architecture
  • Building tabular and matrix reports
  • Working with parameters in reports
  • Formatting and customizing reports
  • Deploying SSRS reports

Module 9: Advanced SSRS Features

  • Interactive and drill-down reports
  • Charts, gauges, and dashboards
  • Report subscriptions and scheduling
  • Performance optimization in SSRS
  • Integrating SSRS with external systems

Module 10: T-SQL for Business Intelligence

  • Advanced querying techniques
  • Common table expressions (CTEs)
  • Window functions for analytics
  • Data aggregation methods
  • Real-world analytical queries

Module 11: Power BI and SQL Server Integration

  • Connecting Power BI with SQL Server
  • Building dashboards from SQL Server data
  • Using DirectQuery vs. Import mode
  • Data refresh strategies
  • Best practices in integration

Module 12: Data Security and Governance in BI

  • Role-based security in SQL Server BI
  • Data encryption and protection methods
  • Monitoring BI applications
  • Compliance and governance considerations
  • Managing permissions and roles

Module 13: Performance Tuning in BI Applications

  • Indexing strategies for BI queries
  • Optimizing SSIS packages
  • Cube performance in SSAS
  • Improving SSRS report performance
  • Monitoring BI system health

Module 14: Real-World BI Use Cases

  • Financial reporting dashboards
  • Sales and marketing analytics
  • Operations performance monitoring
  • Customer and market analytics
  • Industry case studies in SQL Server BI

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

SQL Server Business Intelligence Solutions for Data-Driven Enterprises Training Course

Introduction

In today’s competitive business environment, organizations must rely on advanced tools to turn raw data into actionable insights. SQL Server Business Intelligence (BI) applications provide a powerful platform for data integration, reporting, analytics, and visualization, enabling enterprises to make smarter, faster, and more informed decisions. With its robust features for ETL, data warehousing, OLAP, and reporting, SQL Server BI continues to be a top choice for professionals seeking comprehensive BI solutions.

This training course equips participants with the knowledge and practical expertise to design, implement, and manage SQL Server BI applications effectively. Learners will explore real-world BI scenarios, covering data modeling, SSIS (SQL Server Integration Services), SSRS (SQL Server Reporting Services), and SSAS (SQL Server Analysis Services). By the end of the program, participants will be able to transform business data into powerful dashboards, reports, and analytical solutions that drive enterprise growth.

Duration: 10 Days

Target Audience

  • Business intelligence analysts and developers
  • Database administrators and data engineers
  • IT professionals managing enterprise data systems
  • Reporting specialists and data visualization professionals
  • Managers seeking SQL Server BI insights for strategic decisions

10 Objectives

  1. Understand the core architecture of SQL Server BI applications
  2. Apply SQL Server Integration Services (SSIS) for ETL processes
  3. Design and deploy multidimensional models using SSAS
  4. Develop dynamic and interactive reports with SSRS
  5. Implement data warehousing solutions with SQL Server
  6. Optimize BI applications for performance and scalability
  7. Apply advanced querying techniques for analytics
  8. Integrate SQL Server BI with other business tools
  9. Secure, monitor, and manage BI environments
  10. Deliver real-world BI projects through hands-on learning

15 Course Modules

Module 1: Introduction to SQL Server BI

  • Overview of SQL Server BI stack
  • Importance of BI in modern enterprises
  • SQL Server tools for BI implementation
  • BI lifecycle and methodologies
  • Business use cases for SQL Server BI

Module 2: SQL Server Architecture for BI

  • Core SQL Server architecture
  • Data storage and processing layers
  • SQL Server editions for BI
  • Configuring SQL Server for BI workloads
  • Understanding SQL Server services

Module 3: Data Warehousing Fundamentals

  • Concepts of data warehousing
  • Star and snowflake schema design
  • Data staging and ETL principles
  • Building data marts
  • Best practices in data warehousing

Module 4: SQL Server Integration Services (SSIS) Basics

  • Introduction to SSIS
  • ETL workflows in SSIS
  • Control flow and data flow tasks
  • Handling errors in ETL processes
  • Deploying and managing SSIS packages

Module 5: Advanced SSIS Techniques

  • Transformations in ETL
  • Dynamic configurations in SSIS
  • Performance tuning ETL packages
  • Integrating multiple data sources
  • Automation of ETL workflows

Module 6: SQL Server Analysis Services (SSAS) Introduction

  • Basics of OLAP and multidimensional analysis
  • Creating cubes in SSAS
  • Dimension and measure groups
  • Deploying SSAS solutions
  • Exploring data with OLAP tools

Module 7: Advanced SSAS Techniques

  • MDX (Multidimensional Expressions) queries
  • Calculated measures and KPIs
  • Advanced cube design
  • Partitioning and aggregations
  • Security in SSAS cubes

Module 8: SQL Server Reporting Services (SSRS) Basics

  • Introduction to SSRS architecture
  • Building tabular and matrix reports
  • Working with parameters in reports
  • Formatting and customizing reports
  • Deploying SSRS reports

Module 9: Advanced SSRS Features

  • Interactive and drill-down reports
  • Charts, gauges, and dashboards
  • Report subscriptions and scheduling
  • Performance optimization in SSRS
  • Integrating SSRS with external systems

Module 10: T-SQL for Business Intelligence

  • Advanced querying techniques
  • Common table expressions (CTEs)
  • Window functions for analytics
  • Data aggregation methods
  • Real-world analytical queries

Module 11: Power BI and SQL Server Integration

  • Connecting Power BI with SQL Server
  • Building dashboards from SQL Server data
  • Using DirectQuery vs. Import mode
  • Data refresh strategies
  • Best practices in integration

Module 12: Data Security and Governance in BI

  • Role-based security in SQL Server BI
  • Data encryption and protection methods
  • Monitoring BI applications
  • Compliance and governance considerations
  • Managing permissions and roles

Module 13: Performance Tuning in BI Applications

  • Indexing strategies for BI queries
  • Optimizing SSIS packages
  • Cube performance in SSAS
  • Improving SSRS report performance
  • Monitoring BI system health

Module 14: Real-World BI Use Cases

  • Financial reporting dashboards
  • Sales and marketing analytics
  • Operations performance monitoring
  • Customer and market analytics
  • Industry case studies in SQL Server BI

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

Sql Server Business Intelligence Solutions For Data-driven Enterprises Training Course in Micronesia (Federated States of)
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