DAMG 7370 — Designing Advanced Data Architectures for Business Intelligence

4 semester hoursGraduateLectureusually offered: fall, springtypical days: MBostonSeattle, WAToronto, CanadaLive CastTraditional

Focuses on designing advanced data architectures supporting structured, unstructured, and semistructured data sources; hybrid integration and data engineering; and analytical uses by casual information consumers, power users, and data scientists. Technologies include databases (relational, columnar, in-memory, and NoSQL); hybrid data, application, and cloud integration; data preparation; data virtualization; descriptive, diagnostic, predictive, and prescriptive analytics; and on-premise and on-cloud deployments. Topics include data structures, data models, data integration workflow and data engineering, data integration, data preparation, and data virtualization.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 202338014057%20.0
Spring 202429612080%12.0
Fall 20242298036%25.5
Spring 20252768095%2.0
Fall 202534111037%23.0
Spring 202635211047%19.3

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 100% · T 0% · W 0% · Th 0% · F 0%

Common patterns: M (100% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

DAMG 7390

Courses that list DAMG 7370 in their prerequisites.

Links

Official catalog (DAMG course descriptions) · Student reviews on RateMyHusky · All DAMG courses · Plan it at numap.app