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Lecture 9 - Big Data and data science

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Total cards: 10•Content version: v4•Public deck•Updated: 8/1/2026

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#1
Front (Question)

Give examples of SQL databases

Back (Answer)

mySQL, MongoDB, SQL Server, PostGreSQL, Vertica

#2
Front (Question)

Give examples of SQL databases

Back (Answer)

mySQL, SQL Server, PostGreSQL, Vertica

#3
Front (Question)

Give an example of no-SQL databases

Back (Answer)

Graph Database (like DBPedia)

#4
Front (Question)

What does API stand for?

Back (Answer)

Application Programmer Interface

#5
Front (Question)

Under which circumstances SQL / no-SQL should be used?

Back (Answer)

SQL: data is structured and unchanging no-SQL : - storing a large volume of data with little structure - data changes rapidly

#6
Front (Question)

What is Hadoop?

Back (Answer)

open-source Java implementation of Map-Reduce

#7
Front (Question)

What is Map-Reduce?

Back (Answer)

Framework to distribute/parallelize processing tasks across multiple computers

#8
Front (Question)

What is Apache Spark?

Back (Answer)

“successor” of Hadoop

#9
Front (Question)

Name the advantages of Spark over Hadoop

Back (Answer)

• provides real-time, in-memory processing • much faster than Hadoop –> suitable for streaming real-time data

#10
Front (Question)

Why SaaS?

Back (Answer)

• pay as you go • scale up/down • low maintenance • performance, better infrastructure (disadvantage: data privacy)