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Features

Graphical Hierarchy Editor
MicroStrategy Architect provides a visual map of an organization's database tables and business model. This visual map allows developers to quickly identify and create relationships among the data elements. Managers and users can print this visual map for future reference. 

View Graphical Hierarchy Editor

Schema Locking
MicroStrategy Architect maintains the integrity of business intelligence applications by controlling updates to the business model. Schema locking enables a multi-developer environment with synchronized changes. Locking the application schema prevents different users from modifying schema objects at the same time as they develop future releases of their business intelligence applications.

Freehand SQL-based Logical Table Creation
Administrators can create logical table views by defining customized table structures using freeform SQL statements within a MicroStrategy project. These virtual tables are included in the MicroStrategy metadata and can be used as derived tables by MicroStrategy’s ROLAP SQL Engine.

View Logical Table Editor

Import PMML Model
MicroStrategy Architect can import and create metrics from Predictive Modeling Markup Language (PMML) models of sophisticated data mining algorithms. A PMML Viewer displays detailed information and a graphical representation of the data mining algorithm.

Import of IBM DB2® Cube Views
The DB2 Cube View integration utility enables the creation of new MicroStrategy projects directly from IBM DB2 Cube Views' XML files, drastically shortening the project creation process.

Automatic Column Mapping
Using default heuristics, MicroStrategy Architect will identify the table columns that should normally be mapped together. These heuristics and mappings can be modified at a later time. Designers no longer have to manually drag and drop each mapping as in some competing products; instead, MicroStrategy Architect will perform all mappings automatically and still allow users to customize individual mappings as needed.

Access to Partitioned Fact Tables
Partitioning is a common practice among database administrators, done to improve data warehouse query performance by splitting a fact table into several smaller tables according to specific data ranges. Partitioning by month is very common because monthly data is unlikely to change. MicroStrategy Architect lets users define these partitions in the MicroStrategy metadata. By reading from this metadata, MicroStrategy Intelligence Server will automatically access the correct partitioned tables when generating SQL.

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