ADM 1370 Study Guide - Midterm Guide: Word Processor, Genomics, Stream Processing

• School: University of Ottawa
• Department: Administration
• Course: ADM 1370
• Professor: Craig Kuziemsky

Document Summary

Data: raw facts that describe the characteristics of an event. Data has become central and even vital to organizations. Organizations need to make sure data is easily accessed across the organization. Data is created and used offline without going through quality control checks. Data may be redundant and out-of-date, creating a huge maintenance problem. Data management: a structured approach for capturing, storing, processing, integrating, distributing, securing, and archiving data effectively throughout their life cycle. Host and integrate networks, computer systems, and storage devices. High reliability and availability (redundant power supplies, redundant hardware) Collections of data sets or records stored in a systematic way. Stores data generated by business apps, sensors, operations, and transaction-processing systems (tps) Maintains data about various types of objects, events, people, and places. The data in databases are volatile (changing frequently) Distributed database with complete or partial copies of the central database in more than one location.