DA 5020 — Collecting, Storing, and Retrieving Data

4 semester hoursGraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional

Studies how to build large-scale information repositories of different types of information objects so that they can be selected, retrieved, and transformed for analytics and discovery, including statistical analysis. Analyzes how traditional approaches to data storage can be applied alongside modern approaches that use nonrelational data structures. Through case studies, readings on background theory, and hands-on experimentation, offers students an opportunity to learn how to select, plan, and implement storage, search, and retrieval components of large-scale structured and unstructured information repositories. Emphasizes how to assess and recommend efficient and effective large-scale information storage and retrieval components that provide data scientists with properly structured, accurate, and reliable access to information needed for investigation.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20231598768%28.0
Spring 20242729873%13.0
Fall 20242618869%13.5
Spring 20252709772%13.5
Fall 20251264953%23.0
Spring 20261535990%6.0

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 0% · T 6% · W 0% · Th 13% · F 0%

Common patterns: async (82% of sections), R (13% of sections), T (6% 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.

Links

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