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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Fundamental principles of Business Intelligence within the public sector
  • The function of SSAS in Microsoft’s data analytics framework
  • Structure and core components of SSAS
  • Interoperability between SSAS, SSIS, SSRS, and Power BI for government data workflows

Installation and Configuration of SSAS

  • Procedures for installing SQL Server Analysis Services
  • Configuration protocols for SSAS environments
  • Deployment mode specifications:
    • Multidimensional model deployment
    • Tabular model deployment
  • Administration of SSAS databases and instances

Business Intelligence and Data Analytics Frameworks

  • Principles of data warehousing and analytical modeling for government operations
  • Conversion of operational data into actionable intelligence
  • Designing analytical architectures to support informed decision-making
  • Overview of OLAP systems and analytical processing standards

SSAS Data Modeling Standards

  • Foundations of multidimensional data modeling
  • Construction of dimensions and measurable attributes
  • Development of cubes and analytical structures
  • Establishment of relationships between data entities
  • Application of best practices for government BI data models

Implementation of SSAS Tabular Models

  • Architecture of tabular models for government use cases
  • Creation and management of tabular structures
  • Data retrieval and querying procedures
  • Development of calculations and analytical expressions
  • Strategies for optimizing tabular model efficiency

Querying Multidimensional Data with MDX

  • Introduction to MDX (Multidimensional Expressions) syntax
  • Techniques for querying cubes and dimensions
  • Development of calculated members and measures
  • Methods for filtering and analyzing multidimensional datasets

Advanced SSAS Capabilities

  • Utilization of Columnstore Index technology for government data
  • Enhancement of analytical query performance
  • Deep integration with SQL Server Integration Services (SSIS)
  • Integration with Master Data Services (MDS) for data governance

Deployment of BI Solutions using SSAS

  • Deployment of SSAS solutions to production environments for government use
  • Connectivity between SSAS models and client applications
  • Integration with reporting and visualization platforms
  • Support for enterprise-scale BI scenarios

Troubleshooting and Performance Optimization

  • Monitoring tools and techniques for SSAS performance
  • Identification of common configuration discrepancies
  • Optimization of queries and underlying data models
  • Implementation of SSAS administration best practices

Practical Workshop and Curriculum Review

  • Construction of analytical models utilizing SSAS for government purposes
  • Development and querying of BI solutions
  • Analysis of real-world SSAS implementation case studies
  • Consolidation of key concepts and strategic next steps

Requirements

  • Demonstrated proficiency in data analytics methodologies
  • Practical application experience with Microsoft SQL Server environments
 14 Hours

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