MicroStrategy Architect: Project & Schema Development [2025]

MicroStrategy delivers a comprehensive business intelligence platform for standardized enterprise reporting, data analytics, interactive dashboards, strong data governance, and scalable mobile and cloud capabilities, including AI and generative AI features.

Explore MicroStrategy tier architecture, including the three-tier or four-tier model, from data sources and semantic layer to intelligence server, analytics engine, client apps, and report distribution features.

Architects explore the metadata repository, a semantic layer storing definitions for facts, hierarchies, tables, and objects like metrics and reports, enabling a source of truth for governance and BI.

Discover how the semantic layer serves as an intermediary between data sources and end users, translating terms, abstracting data structures, and preserving consistent business logic, relationships, and the data model.

Understand how MicroStrategy projects act as containers for objects, connect to data warehouses or data marts, and include multiple data sources, while environments manage development, testing, and production through deployment.

Explore the two object types in MicroStrategy—schema objects and public objects—and how tables, attributes, facts, hierarchies, transformations, metrics, filters, prompts, consolidations, and custom groups power dashboards.

Demonstrate connecting to a MicroStrategy environment, selecting a project, and building dashboards by combining attributes and metrics in a star schema semantic layer, showing how revenue aggregates by customer.

Explore the star schema in dimensional modeling, with a central fact table and denormalized dimension tables that optimize analytical queries and enable flexible slicing across time, product, and region.

Access the MicroStrategy sandbox via remote desktop to launch developer and workstation tools. Prepare the environment, configure project sources, and begin schema development with the sandbox setup.

Implement a simple star schema in MicroStrategy for the Easycar case study, using a central fact table for reservations and dimension tables for cars, customers, and branches.

Install and configure a local Postgres database with pgadmin, create the Easycar database, run DDL to build fact and dimension tables, and import CSV data, troubleshoot delimiter errors.

Create a new PostgreSQL data source in the MicroStrategy server for the Easycar database, using the Easycar connection and standard authentication, then test and save the connection.

Create an empty MicroStrategy project and initialize its metadata repository with default schema objects such as attributes, facts, and metrics, then see the Easy Car project appear as setup completes.

Edit the schema to create attributes for the customer, car, and branches dimensions, define their relationships to build a star schema for accurate fact aggregation.

Create the reservations fact to form a star schema, add start and end date attributes, define a total amount metric with sum, and link dimensions customer, car, and branch.

Build a first report to test the schema by querying a star schema, joining fact and dimension tables, and calculating aggregated revenue by car category.

Create interactive dashboards in MicroStrategy using a star schema and semantic layer to visualize revenue by city and car model with filters and interactive visuals.

Learn to use the MicroStrategy developer client to open projects, manage warehouse catalogs, update structures, and build attributes, facts, and metrics, with notes on workstation comparison.

Step into the role of a MicroStrategy architect by applying enterprise grade schema development skills and practicing in a sandbox through hands-on exercises that connect theory to practice.