Data Engineering Flashcards

(38 cards)

1
Q

What is an ETL pipeline?

A

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2
Q

What is a data warehouse?

A

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3
Q

What is your experience with data modeling?

A

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4
Q

What is your experience with data cleaning?

A

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5
Q

What is your experience with data visualization?

A

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6
Q

What is data engineering?

A

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7
Q

Data modeling: Star Schema

A

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8
Q

Data modeling: Snowflake Schema

A

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9
Q

What is big data?

A

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10
Q

What is structured data?

A

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11
Q

What is unstructured data?

A

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12
Q

What is semi-structured data?

A

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13
Q

What is Hadoop?

A

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14
Q

What is AWS?

A

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15
Q

What is the difference between a data warehouse and a database?

A

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16
Q

What are common data structures?

A
Dictionaries
Lists
Sets
Strings
Tuples
17
Q

Difference between a for loop and a while loop

18
Q

NumPy

19
Q

SciPy

20
Q

SQLAlchemy

21
Q

BeautifulSoup

22
Q

Seaborn

23
Q

Matplotlib

24
Q

What is an API request?

25
Example API request
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26
Float
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27
Boolean
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28
Integer
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29
Example function
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30
What is a function?
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31
What is a dataframe?
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32
Merge dataframes syntax
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33
What is object-oriented programming?
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34
.describe()
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35
.head()
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36
.info()
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37
What are methods?
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38
What are attributes?
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