Pearson eText for Modern Database Management -- Instant Access (Pearson+)
13th Edition
ISBN: 9780137305940
Author: Jeffrey Hoffer, Ramesh Venkataraman
Publisher: PEARSON+
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Question
Chapter 11, Problem 11.1RQ
Program Plan Intro
a. Definition of data mining.
Expert Solution
Explanation of Solution
Data mining is the process of gaining insights (knowledge discovery) from huge data sources using sophisticated mixture of techniques from the field of
Program Plan Intro
b. Definition of online analytical processing.
Expert Solution
Explanation of Solution
Online analytical processingor OLAP refersto providing users with multidimensional views of data accessed by themwith the help ofvarious graphical tools.Using OLAPuserscananalyse the data with the help of simple windowing techniques.
Program Plan Intro
c. Definition of business intelligence.
Expert Solution
Explanation of Solution
Business intelligence is the set of methodologies, architectures, processed and technologies that generate meaning insights from raw data.
Program Plan Intro
d. Definition of predictive analytics.
Expert Solution
Explanation of Solution
Predictive analytics is method of making predictions about what might occur in future by means of using computational and statistical methods on data related to current and past events.
Program Plan Intro
e. Definition of Apache spark.
Expert Solution
Explanation of Solution
Apache Spark is an open source infrastructural tool for analytics. It is an open source analytics environment useful for big and highly heterogenous data sets to provide capabilities from analytics to the maintenance of widley distributed storage system.
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This is a question that I have and would like someone who has experiences with scene graphs and entity component systems to answer.For context, I am currently implementing a game engine and currently I am debating on our current design.Our current design is we have a singular game component class that every component inherits from. Where we have components like SpriteRendererComponent, Mehs Component, etc. They inherit from this GameComponent class. The point of this is being able to have O(1) access to the scene to being able to modify components to attach more components with the idea of accessing those components to specific scene objects in a scene.Now, my question is what kinds of caveauts can this cause in terms of cache coherence? I am well aware that yes its O(1) and that is great but cache coherence is going to be really bad, but would like to know more explicit details and real-life examples such as write in RAM examples on how this is bad. A follow-up question that is part…
Q4: Consider the following MAILORDER relational schema describing the data for a mail order
company. (Choose five only).
PARTS(Pno, Pname, Qoh, Price, Olevel)
CUSTOMERS(Cno, Cname, Street, Zip, Phone)
EMPLOYEES(Eno, Ename, Zip, Hdate)
ZIP CODES(Zip, City)
ORDERS(Ono, Cno, Eno, Received, Shipped)
ODETAILS(Ono, Pno, Qty)
(10 Marks)
I want a detailed explanation to
understand the mechanism how it is
Qoh stands for quantity on hand: the other attribute names are self-explanatory. Specify and
execute the following queries using the RA interpreter on the MAILORDER database schema.
a. Retrieve the names of parts that cost less than $20.00.
b. Retrieve the names and cities of employees who have taken orders for parts costing more than
$50.00.
c. Retrieve the pairs of customer number values of customers who live in the same ZIP Code.
d. Retrieve the names of customers who have ordered parts from employees living in Wichita.
e. Retrieve the names of customers who have ordered parts costing less…
Q4: Consider the following MAILORDER relational schema describing the data for a mail order
company. (Choose five only).
(10 Marks)
PARTS(Pno, Pname, Qoh, Price, Olevel)
CUSTOMERS(Cno, Cname, Street, Zip, Phone)
EMPLOYEES(Eno, Ename, Zip, Hdate)
ZIP CODES(Zip, City)
ORDERS(Ono, Cno, Eno, Received, Shipped)
ODETAILS(Ono, Pno, Qty)
Qoh stands for quantity on hand: the other attribute names are self-explanatory. Specify and
execute the following queries using the RA interpreter on the MAILORDER database schema.
a. Retrieve the names of parts that cost less than $20.00.
b. Retrieve the names and cities of employees who have taken orders for parts costing more than
$50.00.
c. Retrieve the pairs of customer number values of customers who live in the same ZIP Code.
d. Retrieve the names of customers who have ordered parts from employees living in Wichita.
e. Retrieve the names of customers who have ordered parts costing less than$20.00.
f. Retrieve the names of customers who have not placed…
Chapter 11 Solutions
Pearson eText for Modern Database Management -- Instant Access (Pearson+)
Ch. 11 - Prob. 11.1RQCh. 11 - Prob. 11.2RQCh. 11 - Prob. 11.3RQCh. 11 - Prob. 11.4RQCh. 11 - Prob. 11.5RQCh. 11 - Prob. 11.6RQCh. 11 - Prob. 11.7RQCh. 11 - Prob. 11.8RQCh. 11 - Prob. 11.9RQCh. 11 - Prob. 11.10RQ
Ch. 11 - Prob. 11.11RQCh. 11 - Prob. 11.12RQCh. 11 - Prob. 11.13RQCh. 11 - Prob. 11.14RQCh. 11 - Prob. 11.15RQCh. 11 - Prob. 11.16RQCh. 11 - Describe the core idea underlying in-database...Ch. 11 - Prob. 11.18RQCh. 11 - Prob. 11.19RQCh. 11 - Prob. 11.20PAECh. 11 - Prob. 11.21PAECh. 11 - Prob. 11.22PAECh. 11 - Prob. 11.23PAECh. 11 - Prob. 11.24PAECh. 11 - Prob. 11.25PAECh. 11 - Prob. 11.26PAECh. 11 - Prob. 11.27PAECh. 11 - Problems and Exercises 11-22 through 11-28 are...Ch. 11 - Prob. 11.29PAECh. 11 - Prob. 11.30PAE
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