Data warehousing Flashcards

1
Q

What is a data warehouse ?

A

a system that aggregates data from one or more sources into a single consistent data store to support data analytics

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2
Q

What does on-premises mean ?

A

inside a building or on the area of land that it is on.

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3
Q

What does appliances mean ?

A

a device or piece of equipment designed to perform a specific task.

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4
Q

What do Data warehouse systems support ?

A

Data mining ,Artificial intelligence ,Machine learning, Front-end reporting , OLAP

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5
Q

Where are Data warehouses hosted ?

A

in the beginning :on premises
2000s :Appliances
2010 until present :Cloud

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6
Q

Who uses Data warehouses ?

A

pretty much every industry; E-commerce ,Transportation,Medical,Banking ,Social media ,Government

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7
Q

Name Data mart different possible structures

A

Relational database
Star or snowflake schema

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8
Q

What are the types of Data marts ?

A

Dependent ,Hybrid ,Independent

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9
Q

What is a Data pipeline ?

A

A data pipeline is a method in which raw data is ingested from various data sources and then ported to data store, like a data lake or data warehouse

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10
Q

What are the data marts purposes ?

A

-Timely relevant data
-Rapid query responses
-Cost efficiency
-Secure access

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11
Q

What’s a data mart ?

A

It’s an isolated part of the larger EDW,built to serve a business function,purpose or user community .

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12
Q

What is a Data lake ?

A

Exist as a repository of raw data straight from the source .

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13
Q

What does it mean scalable ?

A

Scalability is the property of a system to handle a growing amount of work. One definition for software systems specifies that this may be done by adding resources to the system. In an economic context, a scalable business model implies that a company can increase sales given increased resources

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14
Q

What does it mean curated ?

A

(of online content, merchandise, information, etc.) selected, organized, and presented using professional or expert knowledge.

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15
Q

What does it mean agile ?

A

able to move quickly and easily

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16
Q

Name all data cube’s operations ?

A

Slicing
Dicing
Drilling up and down
Pivoting
Rolling up