Lessons 1 - 4 Flashcards

For First Quiz

1
Q

________ can be represented in different forms of types

A

Data

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2
Q

What type of data:

Standardized

A

Structured

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3
Q

What type of data:

Clearly defined

A

Structured

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4
Q

What type of data:

Searchable

A

Structured

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5
Q

What type of data:

Comply with a predefine format

A

Structured

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6
Q

What type of data:

Do not have a predefined data model

A

Unstructured

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7
Q

What type of data:

Stored in its native format or in unstructured raw formats

A

Unstructured

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8
Q

What type of data:

Email, social media posts, text files, audio, and video

A

Unstructured

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9
Q

What type of data:

Data based on location and geographical coordinates

A

Geospatial

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10
Q

What type of data:

Can be represented by a point, a polygon, or a 3D shape

A

Geospatial

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11
Q

Data vs Information

Discrete measurement, fact, or observation representing a real-world process

A

Data

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12
Q

Data vs Information

Can be structured, unstructured, or geospatial

A

Data

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13
Q

Data vs Information

Unprocessed facts or figures, collected through observations transactions, or measurements

A

Data

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14
Q

Data vs Information

Created when data is analyzed and usually combined with other data to extract meaning and provide context

A

Information

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15
Q

Data vs Information

Processed, organized, and presented data to be useful for making decisions, understanding complex concepts, or building knowledge

A

Information

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16
Q

Provides context for data and enables decision making

A

Information

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17
Q

What kind of Logical Assertion of Information:

Objective piece of information that is verifiable and can be proven true or false through evidence

18
Q

What kind of Logical Assertion of Information:

Subjective belief or judgment that reflects an individual’s thoughts, feelings, or interpretations

19
Q

What kind of Logical Assertion of Information:

Choice or liking for one thing over another, influenced by personal taste and doesn’t involve a broader judgment or belief

A

Preference

20
Q

What kind of Logical Assertion of Information:

Widely accepted practice or standard that is established by common agreement or tradition

A

Convention

21
Q

What of Type of Analytics:

Examines historical data to understand what happened

A

Descriptive Analytics

22
Q

What of Type of Analytics:

Most common type of analytics

A

Descriptive Analytics

23
Q

What of Type of Analytics:

Delivered Through reports and dashboards

A

Descriptive Analytics

24
Q

What of Type of Analytics:

Examines data to understand why something happened or why did it happen

A

Diagnostic Analytics

25
# What of Type of Analytics: Identifies patterns, relationships and correlations to diagnose the root cause of an issue
Diagnostic Analytics
26
# What of Type of Analytics: Answers what could happen?
Predictive Analytics
27
# What of Type of Analytics: Uses statistical models and machine learning to forecast what might happen in the future
Predictive Analytics
28
# What of Type of Analytics: Predicts outcomes, such as customer churn or product sales
Predictive Analytics
29
# What of Type of Analytics: Analytics that provides recommendations to achieve a desired outcome
Prescriptive Analytics
30
# What of Type of Analytics: Answers what should we do?
Prescriptive Analytics
31
A single repository or organizational database
Data warehouse
32
Integrates data from multiple sources (internal and external) and organized it around business processes
Data Warehouse
33
Involves a large data store and keeps historical data
Data Warehouse
34
Supports analysis and decision-making
Data Warehouse
35
The abbreviated forms are DW, DWH, or EDW which mean?
* DW - Data Warehouse * DWH - Data Warehouse * EDW - Enterprise Data Warehouse
36
What does OTP mean?
Online Transaction Processing
37
What does OTP do?
Handles daily transactions in real-time, often in enterprise applications.
38
What does OLAP mean?
Online Analytical Processing
39
What does OLAP do?
Primarily used for data analysis and decision-making, involving complex queries on historical data stored in data warehouses.
40
# ADDITIONAL NOTES: OLTP - EAD | skip ra ay
Enterprise Application Databases could be: * CRM - Customer Service Representative * Point-of-sales - Salesperson * Accounting - Accountant
41
# ADDTIONAL NOTES OLAP - DW
* SQL Server - Data Analyst * Tableau - Report Developer