5.3 Big Data

Question 1

what is big data

Answer 1

collection of data that is so large and complex that it is difficult to maange using tradiitonal dbms!!!

Question 2

Is Big Data the same thing as large amount of traditional data?

Answer 2

no!!! separate things because Big Data refers to new forms of data (the vibratiosn of a song, the structural integrity of abridge at separate points)

Question 3

What do big data systems do?

Answer 3

make predictions

Question 4

Define Big Data (5 components)

Answer 4

1) has variety
2) includes structured, unstructued, and semi structured data
3) generated at high velocity w uncertain patterns
4) cant fit into into traditional relational databases
5) an be captured, processed, and transformed by info systems

Question 5

Types of big data
1) Traditional enterprise data

Answer 5

Data about customer info from crm systems, transactional data, operations data etc

Question 6

Types of big data
2) machine generated sensor data

Answer 6

data about manufacturing sensors, sensors in different electronics, and equipment related data

Question 7

Types of big data
3) social data

Answer 7

things lke customer feedback comments, social media sites,

Question 8

Types of big data
4) visual data

Answer 8

data from images located around the worldround the world

Question 9

3 characterisitcs of big data

Answer 9

1) volume
2) velocity
3) variety

Question 10

Characteristics of big data:
volume

Answer 10

big data usually has a lot of volumec

Question 11

characterisitcs of big data
velocity

Answer 11

the rate at which data flows into an org is rapidly increading!!!

velocity is super high

Question 12

charcateristics of big data
variety

Answer 12

big data changes rapidly! include satellite imagery, audio streams, music, web pages

Question 13

is all big data valuable!

Answer 13

yes!! just in different ways!!!

Question 14

issues of big data

Answer 14

1) can come from untrusted sources (comes from various sources so it could not always be relevant)

2) dirty: inaccurate, incomplete, incrorrect,duplicate data

3) big daata changes, especially in data streams: data quality can change in different conditions!

EX: if there is a real time data tracker and something happens to the physical tracker how does this impact the data?

Question 15

has big data helped business?

Answer 15

yes! made things easier today that were way harder before

Question 16

how do we manage big data?

Answer 16

1) use information silos
2)invensting in good Info management systems

Question 17

information silos

Answer 17

a way to manage big daata, this is IS that does not communicate with any other related IS

*FIRST step in big data management

Question 18

what is NoSQL

Answer 18

“not only sql “

this is another form of a dbms that uses more than just sql

Question 19

difference between NoSQL and Oracle/SQL

Answer 19

Oracle/SQL: store data in tables organized in rows and columns (Each row linked to specific record, each column is a field that defines an attribute)

NoSQL: manages both structured and unstructured data, and also dirty data (incomplete data)

Question 20

Oracle/SQL: store data in tables organized in rows and columns (Each row linked to specific record, each column is a field that defines an attribute)

NoSQL: manages both structured and unstructured data, and also dirty data (incomplete data)

Answer 20

Oracle/SQL: store data in tables organized in rows and columns (Each row linked to specific record, each column is a field that defines an attribute)

NoSQL: manages both structured and unstructured data, and also dirty data (incomplete data)Oracle/SQL: store data in tables organized in rows and columns (Each row linked to specific record, each column is a field that defines an attribute)

NoSQL: manages both structured and unstructured data, and also dirty data (incomplete data)

Answer 21

Oracle/SQL: store data in tables organized in rows and columns (Each row linked to specific record, each column is a field that defines an attribute)

NoSQL: manages both structured and unstructured data, and also dirty data (incomplete data)

Question 22

how do you make big data useful?

Answer 22

1) make it available: let stakeholders have access to it so businesses can use it to solve problems

2) enable orgs to conduct experinments:

3)microsgmentation of customers: SEPARATING customers into very small groups!

3) create new business models:

4) organizations can analyze more data:

Question 23

big data in the functional areas of the org:
HR

Answer 23

when hiring people you can do tests that assess the persons abilities

Question 24

big data in the functional areas of the org:
Product development

Answer 24

can use big data to find general publics opinions- useful in product development

Question 25

big data in the functional areas of the org:
operations

Answer 25

using data to improve operations, like sensors, timers, gps

Question 26

big data in the functional areas of the org:
marketing

Answer 26

customer demographic data

Question 27

big data in fucntional areas: government operations

Answer 27

doing things like census and other surveys for the city