dat390 | undergraduate
Database Integration With Other Systems
This undergraduate-level course is 5 To enroll, speak with an Enrollment Representative.
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Data Warehouse Reporting and Analytics
- Utilize ongoing and appropriate query optimization and rewriting for a given database system.
- Assess semi-structured data in relational DBMS.
- Apply appropriate analytic techniques for data sets in a given business scenario.
- Integrate the appropriate business intelligence tools into the data warehouse given selection considerations in a business case.
Schema and Data Definitions; Relationships and Discrepancies
- Prepare a schema matching and mapping appropriate for a business case.
- Develop appropriate metadata for a database system.
- Resolve conflicts between heterogeneous data sources.
- Resolve schematic discrepancies.
- Validate data quality and provenance for use in a distributed database system.
Complex Query Development and Optimization
- Identify the appropriate optimization strategy that incorporates best practices and design considerations of a database system.
- Evaluate queries for distributed data sources, source descriptions, and limitations.
- Develop appropriate Schema SQL statements.
Data Warehouse Integration and Data Replication
- Recommend the appropriate database connectivity technology for given business scenario.
- Transform data structured under a source schema into data structured under a different target schema.
- Evaluate data relationships across data sources.
- Prepare a database for integration with an Internet application.
Data Warehouse Tools to Populate and Recover Data
- Prepare data, including data cleaning, for integration into a data warehouse environment.
- Evaluate database incompleteness, inconsistency, nulls, and consistent query answers.
- Recommend the appropriate data exchange option using appropriate source-to-target dependencies.
- Develop appropriate data preservation strategy for a data warehouse.
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