3. Metadata a) List and briefly describe the metadata below. More date = more variables→ more descriptive → enriched narrative. Includes capturing of meta-data (data that describe the data) to help analysts extract latent and nuanced insights. data TimeStamp Day 42370.0424 Fridey 42370.0431 Friday 42370.0438 Friday Location PaymentTyp IP Addes 164 138 2821 136. 142175.7 24.243. 197 20 Inde Terminal Lo Sales cash cash enline 23043731, 76.6s 29.7 43 235 16 48.03, 26J3.68 41.91 $ 320 81 212. 150.95 44.42 204 19 10.39, 178.36 654 233.15 30.78, 219.04 25.87 S online 24 online EFTPOS 4 42370 0445 Friday store EFTPOS 30 42370.0452 Friday 42370.0458 Friday 42370.0465 Friday 253. 119.128 23 180.2491782 online EFTPOS 50 online EFTPOS 205 02 24.6, 86.07 285 online cash 2348 3112, 17s.05 s0.41 144 126 134.16 22 32.01 S7.08, 185.08 57.37 139.71 21.39, 241.08 45.4 S 42373.3403 Monday 42373.341 Monday 42373 3417 Monday 42373.3424 Monday 42373 3431 Monday 42373.3438 Monday 4750 store EFTPOS 23 4751 store EFTPOS 259 15 50.33, 101.65 5.76 5.76 56.47, 335 98 42.59 353.13 10.37, 2373 25 45 5 417 4799, 172.02 58 4752 online EFTPOS 95.129.144.10 50 4753 online EFTPOS 132 152 2510 4754 online EFTPOS 11 16 55.7 4755 online EFTPOS 155..24 23 31 Meta data b) What information does it provide to help enhance business objectives? c) How can metadata be used to improve services and customer experiences? d) Evaluate the key differences between small data and big data analytics for Tibco Electricals.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
3. Metadata
a) List and briefly describe the metadata below.
More date = more variables > more descriptive → enriched narrative.
Includes capturing of meta-data (data that describe the data) to help analysts
extract latent and nuanced insights.
data
TimeStamp Day
42370.0424 Friday
Location PaymentTyp IP Address
164.138 2821
136.142175.7
24.243.197 20
Terminal Loc
230.43731, 76.65 29.7
235 16 48.03, 263.68 41.91 S
320 81 212, 150.95 44.42
Index
Sales
anline cash
online cash
43
42370.0431 Friday
24
42370.0438 Friday
online
EFTPOS
4
42370 0445 Friday
store
EFTPOS
204 19 10 39, 178 36 6.54
30
42370.0452 Frida
online
EFTPOS
253.119.128.23
233 15 30.78, 219.04 25.87 S
50
42370.0458 Friday
42370.0465 Friday
online
EFTPOS
180.2491782
205.02 24.6, 86.07 285
online
cash
144 126134.16
234.8 31 12, 175.05 S041
22
32.01 S7.08, 185.08 57.37
139.71 21.39, 241.08 45.48S
259 15 50 33, 101.65 5.76
5.76 56.47, 335 98 42.59
4750
42373.3403 Monday
store
EFTPOS
23
4751
42373.341 Monday
store
EFTPOS
4752
42373 3417 Monday
online
EFTPOS
95129.144.10
50
4753
42373.3424 Monday
online
EFTPOS
132 152 2510
42373 3431 Monday
42373.3438 Monday
4754
online
EFTPOS
11 186 55.7
353 13 10.37, 2373 25.45
4755
online
EFTPOS
155.89.24.23
41.87 4799, 172.02 58
TE
Meta data
b) What information does it provide to help enhance business objectives?
c) How can metadata be used to improve services and customer experiences?
d) Evaluate the key differences between small data and big data analytics for Tibco Electricals.
Transcribed Image Text:3. Metadata a) List and briefly describe the metadata below. More date = more variables > more descriptive → enriched narrative. Includes capturing of meta-data (data that describe the data) to help analysts extract latent and nuanced insights. data TimeStamp Day 42370.0424 Friday Location PaymentTyp IP Address 164.138 2821 136.142175.7 24.243.197 20 Terminal Loc 230.43731, 76.65 29.7 235 16 48.03, 263.68 41.91 S 320 81 212, 150.95 44.42 Index Sales anline cash online cash 43 42370.0431 Friday 24 42370.0438 Friday online EFTPOS 4 42370 0445 Friday store EFTPOS 204 19 10 39, 178 36 6.54 30 42370.0452 Frida online EFTPOS 253.119.128.23 233 15 30.78, 219.04 25.87 S 50 42370.0458 Friday 42370.0465 Friday online EFTPOS 180.2491782 205.02 24.6, 86.07 285 online cash 144 126134.16 234.8 31 12, 175.05 S041 22 32.01 S7.08, 185.08 57.37 139.71 21.39, 241.08 45.48S 259 15 50 33, 101.65 5.76 5.76 56.47, 335 98 42.59 4750 42373.3403 Monday store EFTPOS 23 4751 42373.341 Monday store EFTPOS 4752 42373 3417 Monday online EFTPOS 95129.144.10 50 4753 42373.3424 Monday online EFTPOS 132 152 2510 42373 3431 Monday 42373.3438 Monday 4754 online EFTPOS 11 186 55.7 353 13 10.37, 2373 25.45 4755 online EFTPOS 155.89.24.23 41.87 4799, 172.02 58 TE Meta data b) What information does it provide to help enhance business objectives? c) How can metadata be used to improve services and customer experiences? d) Evaluate the key differences between small data and big data analytics for Tibco Electricals.
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