Unit 4

Question 1

Data analytics data types

Answer 1

Structured: adheres to pre-defined model and straightforward to analyze, excel and SQL

Semi: contains tags to separate semantic elements…JSON XML

Unstructured: ambiguous , audio, video, NOSQL

Question 2

Metadate

Answer 2

data about data like having info about when and where a pic was taken

Question 3

Data value chain?

Answer 3

End to end process of creating value from data (lifecycle of a data

Question 4

Steps of data value chain:

Answer 4

Data acquisition: gathering and filtering data before it is stored(data warehouse usually) ,flexible

Data Analysis: raw data ~ susceptible to decision making, makes the data relevant, extracting info

Data Curation: manages data accuracy

Data Storage: persistence and management of data in a scalable way, used the ACID and uses NOSQL

Data Usage: how businesses use data to make decisions. using data, analysis and software

Question 5

Which infrastructure in the data value chain is the biggest challenge and has a predictable latency ?

Answer 5

Data acquisition

Question 6

Big data

Answer 6

blanket term for how large datasets that can’t be stored in a single computer are gathered…bla bla bla

Question 7

Characteristics of big data

Answer 7

Volume

Velocity

Variety

Veracity: accurate and credible

Value: Getting useful value

Question 8

Latency

Answer 8

Time it takes for a packet of data to travel from source to a
destination

Question 9

Data warehouse

Answer 9

Data flows into a data warehouse from transactional systems,
relational databases, and other sources, typically on a regular
frequency.

Question 10

Data lake

Answer 10

It can store data in its native format and process any variety of
it, ignoring size limits.