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Exam (elaborations)

ISA 245 Exam 1 With 100% Correct And Verified Answers

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  • Course
  • ISA 245
  • Institution
  • ISA 245

ISA 245 Exam 1 With 100% Correct And Verified Answers

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  • September 2, 2024
  • 21
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • ISA 245
  • ISA 245
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Vendarsol
ISA 245 Exam 1 With 100% Correct And
Verified Answers
why is data valuable
trend detection, advertising, sentiment analysis, which generates
$$
what are some challenges with data
storing data
data diagram
data -> information -> Business Intelligence -> knowledge
online transaction processing operational database
supports day-to-day operations, unstructured and structured data
Advantages of DBMS
intermediary between user and database
- improved data sharing
- improved data security
- improved data access
- improved decision making
data redundancy
same data stored in different places
structural dependence
data characteristic in which a change in the database affected
access
- opposite of structural independence
metadata
data that describes data
most common database
relational database
relational databases need
- tables
- relationships


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,- metadata
- each table needs to be connected to another
data warehouse
type of data management system that is designed to enable and
support business intelligence activities
database vs data warehouse
database:
- operational data
- cannot do analytics
Datawarehouse:
- analytics/historical data
- collection of multiple databases
- data mining, regression analysis
Google's database
Bigtable
Facebook's Database
Casandra
Amazon's Database
DynamoDB
datawarehouse vs datamart
datamart = subset of data warehouse
operational vs analytical data
operational = day-to-day
analytical = using patterns, combined operational
DBMS
Data heirachy
bit -> bytes -> fields -> records -> tables -> database
data anomilies
deletion: delete one thing, might delete the whole row of
important info
insertion: insert new row, some info left blank
update: update one last name, have to do it so many times
Hierarchical data model

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, 1:M
Relational data model
1:M, M:N, 1:1
network
network of nodes, each node connected to many nodes
object-oriented
used when writing a grogram, use or write an object for
your program which can be used and shared for other
programs
Enforce Referential Integrity
you can't have a foreign key not referenced by the primary
key
external mode
application programmer's view of the data environment
external schema
end users view, can only see part of the database
conceptual model
high end overview of entire database
conceptual schema
look at relationships from a zoomed out level
internal model
map conceptual model into physical model
- database manager writes the code to create the database
physical model
how to populate the data
- how/where data is stored
composite key
multiple-attribute key
index
ordered array of index key values and row ID values, helps
you find the data quickly

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