Big Data Exam 1 Questions With Verified
Answers
What is Big Data?
-A collection of data sets so large and complex that it becomes difficult to process using on-hand
database management tools or traditional data processing applications (Hadoop)
-A buzzword/catch-phrase used to describe a massive volume of both structured and unstructured
data
How many bytes of data are produced yearly? (IBM)
2.5 Quintillion
Why is Big Data important? (MT/IBM Study)
-Top-performing organizations use analytics five times more often than lower performers
Why is Big Data important? (MT/IBM Study)
-50% of the respondents said that improvement of info and analytics was a top priority for them
Why is Big Data important? (MT/IBM Study)
-20% said they were under intense pressure to adopt advanced info and analytics approaches
Sports Analytics
-How to predict run or pass? decision tree
-The coach- Heat Map Zone Analysis for passing plays
-Trainer squat test
What are three factors that might be part of a PM for season ticket renewals?
Data factors may include survey responses, pricing models, and customer tweets.
What are two techniques that football teams can use to do opponent analysis?
In the example provided, opponent analytics was evaluated using the coach's annotated game film to
produce an analysis evaluating whether to build a cascaded decision tree model on play prediction,
heat maps of passing offenses, and time series analytics on explosive plays.
How can wearables improve player health and safety? What kinds of new analytics can trainers use?
Wearables can help to identify levels and variation in core body strength, mobile devices worn during
play can record data on hits to assist in concussion protocols, and sleeps sensors can identify how
rested players are.
What other analytics applications can you envision in sports?
possibly tracking performance over time or location
Changing Business Environments and Evolving Needs for Decision Support and Analytics
-Increased hardware, software, and network capabilities
-Group communication and collaboration
-Improved data management-text, sound, graphics, video
-Managing giant data warehouses and Big Data
, -Analytical support
-Overcoming cognitive limits in processing and storing information
-Knowledge management-vast stores of info about everything!
How do we manage, arrange, store and retrieve it?
-Anywhere, anytime support
Definition of BI (Business intelligence)
-BI is an umbrella term that combines architectures, tools, databases, analytical tools, applications,
and methodology
Definition of BI (Business intelligence)
-BI is a context-free expression, so it means different things to different people
Definition of BI (Business intelligence)
-BI's major objective is to enable easy access to and (and to improve business managers with the
ability do conduct analysis)
Definition of BI (Business intelligence)
-BI helps transform data, to information (and knowledge), to decisions and finally actions
Online Transaction Processing (OLTP)
-Operational Databases
-ERP, SCM, CRM
-Goal: Data Capture
*think: TP captures attention; operational
Online Analytical Processing (OLAP)
-Data Warehouses
-Goal: Decision Support
*think: LAPdance in the warehouse
What is the relationship between OLTP and OLAP?
?
OLTP systems are optimized for:
Inputs like inserts, updates, deletes in the database
*TP is in
OLAP systems are optimized for:
outputs like end-user ad hoc reports, queries, and analysis.
*Think lap = Out
Dashboards can be presented at all the following levels EXCEPT
The visual cube level
Functions served by BI Competency Center
Answers
What is Big Data?
-A collection of data sets so large and complex that it becomes difficult to process using on-hand
database management tools or traditional data processing applications (Hadoop)
-A buzzword/catch-phrase used to describe a massive volume of both structured and unstructured
data
How many bytes of data are produced yearly? (IBM)
2.5 Quintillion
Why is Big Data important? (MT/IBM Study)
-Top-performing organizations use analytics five times more often than lower performers
Why is Big Data important? (MT/IBM Study)
-50% of the respondents said that improvement of info and analytics was a top priority for them
Why is Big Data important? (MT/IBM Study)
-20% said they were under intense pressure to adopt advanced info and analytics approaches
Sports Analytics
-How to predict run or pass? decision tree
-The coach- Heat Map Zone Analysis for passing plays
-Trainer squat test
What are three factors that might be part of a PM for season ticket renewals?
Data factors may include survey responses, pricing models, and customer tweets.
What are two techniques that football teams can use to do opponent analysis?
In the example provided, opponent analytics was evaluated using the coach's annotated game film to
produce an analysis evaluating whether to build a cascaded decision tree model on play prediction,
heat maps of passing offenses, and time series analytics on explosive plays.
How can wearables improve player health and safety? What kinds of new analytics can trainers use?
Wearables can help to identify levels and variation in core body strength, mobile devices worn during
play can record data on hits to assist in concussion protocols, and sleeps sensors can identify how
rested players are.
What other analytics applications can you envision in sports?
possibly tracking performance over time or location
Changing Business Environments and Evolving Needs for Decision Support and Analytics
-Increased hardware, software, and network capabilities
-Group communication and collaboration
-Improved data management-text, sound, graphics, video
-Managing giant data warehouses and Big Data
, -Analytical support
-Overcoming cognitive limits in processing and storing information
-Knowledge management-vast stores of info about everything!
How do we manage, arrange, store and retrieve it?
-Anywhere, anytime support
Definition of BI (Business intelligence)
-BI is an umbrella term that combines architectures, tools, databases, analytical tools, applications,
and methodology
Definition of BI (Business intelligence)
-BI is a context-free expression, so it means different things to different people
Definition of BI (Business intelligence)
-BI's major objective is to enable easy access to and (and to improve business managers with the
ability do conduct analysis)
Definition of BI (Business intelligence)
-BI helps transform data, to information (and knowledge), to decisions and finally actions
Online Transaction Processing (OLTP)
-Operational Databases
-ERP, SCM, CRM
-Goal: Data Capture
*think: TP captures attention; operational
Online Analytical Processing (OLAP)
-Data Warehouses
-Goal: Decision Support
*think: LAPdance in the warehouse
What is the relationship between OLTP and OLAP?
?
OLTP systems are optimized for:
Inputs like inserts, updates, deletes in the database
*TP is in
OLAP systems are optimized for:
outputs like end-user ad hoc reports, queries, and analysis.
*Think lap = Out
Dashboards can be presented at all the following levels EXCEPT
The visual cube level
Functions served by BI Competency Center
