This document provides instructions for Lab 4 of a database course. The lab introduces the SQL SELECT statement and how to retrieve data from database tables. Students are instructed to download SQL scripts to populate tables and then write 13 SELECT queries to retrieve and filter data according to the steps. The queries must be written in a script file and the output captured. Students are given guidance on best practices for writing the script file and tips for working with the database tables and columns.
Generate Excel documents with Rational Publishing Engine 1.1.2 and Reporting ...GEBS Reporting
Integrating IBM Rational Publishing Engine 1.1.2 with Reporting Arena Excel Converter to generate documents from various IBM Rational tools in MS Excel format.
Generate Excel documents with Rational Publishing Engine 1.1.2 and Reporting ...GEBS Reporting
Integrating IBM Rational Publishing Engine 1.1.2 with Reporting Arena Excel Converter to generate documents from various IBM Rational tools in MS Excel format.
ECET 450 Laboratory 2Lab 2 involves two parts.Part A involv.docxjenkinsmandie
ECET 450: Laboratory 2
Lab 2 involves two parts.
Part A
involves normalizing a small part of a DB. The steps to complete this exercise include getting the data items into 1NF, 2NF, and 3NF. The final step is to generate the ERD for the table or tables that are in the dependency diagram in 3NF.
Part B
provides practice in the creation of realistic tables and their relationships using Oracle SQL*Plus and introduces writing SQL*Plus script files. This laboratory exercise creates a relatively simple invoice system using SQL statements. This DB schema is used throughout the next several weeks of laboratory exercises. The final product is an SQL script that makes it possible to initially create and re-create, if need be, the DB schema in order to do to the later laboratory exercises.
Part A:
Purpose:
This exercise involves normalizing a small part of a DB. The steps to complete this exercise include getting the data items into 1NF, 2NF, and 3NF. The final step is to generate the ERD for the table or tables that are in the dependency diagram in 3NF.
Discussion:
Some small business wants to keep track of office furniture, computers, printers, etc. A sample of the ITEM records is shown below:
ATTRIBUTE NAME
SAMPLE VALUE
SAMPLE VALUE
SAMPLE VALUE
ITEM_ID
D1342245
D1453356
D1365779
ITEM_DESCRIPTION
IQ Deskjet 683P
IQ Toner
DT Photocopier
ROOM_NUMBER
227
227
342
BLDG_CODE
SC
SC
ET
BLDG_NAME
Science
Science
Electronics Technology
BLDG_MANAGER
A. B. Jones
A. B. Jones
R. S. Smith
Draw the dependency diagram using the data in the table. Make sure to label the transitive and partial dependencies.
Using the dependency diagram developed in step 1, create a set of dependency diagrams that meet 3
rd
Normal Form requirements. Rename attributes to meet the naming conventions. Create new entities and attributes as necessary.
Draw the crow’s foot ERD with the VISIO drawing tool using the results of step 2.
Part B:
Purpose:
This laboratory provides practice in the creation of realistic tables and their relationships using Oracle SQL*Plus and introduces writing SQL*Plus script files. This laboratory exercise creates a relatively simple invoice system using SQL statements. This DB schema is used throughout the next several weeks of laboratory exercises. The final product is an SQL script that makes it possible to initially create and re-create, if need be, the DB schema in order to do to the later laboratory exercises.
Procedure:
Using your assigned user name, password, and host string, log in to Oracle SQL*Plus. Record your dialog with a spool file.
Following the four requirements below, create the 5 tables shown later in this laboratory exercise, and enter all data as shown. Be sure to record your interactions with SQL*Plus using the spool command.
Use table names, attribute names, and data exactly as shown. The one exception is that you will omit the dollar sign and comma separators in the money amounts. Accurately enter the data as you will .
How to use Babbage and Terry's Macro in Qualitative research - a short explanation.
Babbage, D. R., & Terry, G. (2023, April 19). Thematic analysis coding management macro. https://doi.org/10.17605/OSF.IO/ZA7B6
ECET 450 Laboratory 2Lab 2 involves two parts.Part A involv.docxjenkinsmandie
ECET 450: Laboratory 2
Lab 2 involves two parts.
Part A
involves normalizing a small part of a DB. The steps to complete this exercise include getting the data items into 1NF, 2NF, and 3NF. The final step is to generate the ERD for the table or tables that are in the dependency diagram in 3NF.
Part B
provides practice in the creation of realistic tables and their relationships using Oracle SQL*Plus and introduces writing SQL*Plus script files. This laboratory exercise creates a relatively simple invoice system using SQL statements. This DB schema is used throughout the next several weeks of laboratory exercises. The final product is an SQL script that makes it possible to initially create and re-create, if need be, the DB schema in order to do to the later laboratory exercises.
Part A:
Purpose:
This exercise involves normalizing a small part of a DB. The steps to complete this exercise include getting the data items into 1NF, 2NF, and 3NF. The final step is to generate the ERD for the table or tables that are in the dependency diagram in 3NF.
Discussion:
Some small business wants to keep track of office furniture, computers, printers, etc. A sample of the ITEM records is shown below:
ATTRIBUTE NAME
SAMPLE VALUE
SAMPLE VALUE
SAMPLE VALUE
ITEM_ID
D1342245
D1453356
D1365779
ITEM_DESCRIPTION
IQ Deskjet 683P
IQ Toner
DT Photocopier
ROOM_NUMBER
227
227
342
BLDG_CODE
SC
SC
ET
BLDG_NAME
Science
Science
Electronics Technology
BLDG_MANAGER
A. B. Jones
A. B. Jones
R. S. Smith
Draw the dependency diagram using the data in the table. Make sure to label the transitive and partial dependencies.
Using the dependency diagram developed in step 1, create a set of dependency diagrams that meet 3
rd
Normal Form requirements. Rename attributes to meet the naming conventions. Create new entities and attributes as necessary.
Draw the crow’s foot ERD with the VISIO drawing tool using the results of step 2.
Part B:
Purpose:
This laboratory provides practice in the creation of realistic tables and their relationships using Oracle SQL*Plus and introduces writing SQL*Plus script files. This laboratory exercise creates a relatively simple invoice system using SQL statements. This DB schema is used throughout the next several weeks of laboratory exercises. The final product is an SQL script that makes it possible to initially create and re-create, if need be, the DB schema in order to do to the later laboratory exercises.
Procedure:
Using your assigned user name, password, and host string, log in to Oracle SQL*Plus. Record your dialog with a spool file.
Following the four requirements below, create the 5 tables shown later in this laboratory exercise, and enter all data as shown. Be sure to record your interactions with SQL*Plus using the spool command.
Use table names, attribute names, and data exactly as shown. The one exception is that you will omit the dollar sign and comma separators in the money amounts. Accurately enter the data as you will .
How to use Babbage and Terry's Macro in Qualitative research - a short explanation.
Babbage, D. R., & Terry, G. (2023, April 19). Thematic analysis coding management macro. https://doi.org/10.17605/OSF.IO/ZA7B6
1. (TCO 1) Which of the following sets of SQL clauses represent the minimum combination of clauses to make a working SQL statement? (Points : 5)
SELECT, WHERE
FROM, WHERE
SELECT, FROM
FROM, ORDER BY
Luke Cushanick Admin Tips and Tricks for Salesforce Trailblazer Community Chr...Anna Loughnan Colquhoun
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BUSI 301 Book Review RubricScoreCommentsResearch 25.docxhumphrieskalyn
BUSI 301
Book Review Rubric
Score
Comments
Research: 25 Points Possible
Appropriate research demonstrated by the use of scholarly, academic sources. Primary sources used whenever possible and appropriate supplemented with high quality secondary sources.
0
Bad
Failing
Poor
Average
Good
Excellent
Perfect
0
12.5
15
17.5
20
22.5
25
of 25
Writing: 25 Points Possible
Writing level appropriate for 300-level course. Appropriate word selection, organization, flow of thought, transition, grammar, punctuation, spelling, etc. Clear and understandable, communicating well with reader.
0
Bad
Failing
Poor
Average
Good
Excellent
Perfect
0
12.5
15
17.5
20
22.5
25
of 25
Content: 40 Points Possible
Length of Book Review appropriate. Demonstration of interaction with and mastery of subject matter including development of ideas, interaction with and integration of scholarly research, integration of biblical worldview, etc. Author’s main theme(s) articulated clearly. Interaction with main points evident. Agreement/Disagreement with author’s point of view supported by well-reasoned arguments.
0
Bad
Failing
Poor
Average
Good
Excellent
Perfect
0
20
24
28
32
36
40
of 40
Format and Style: 10 Points Possible
Overall appearance and style of the paper. Conformity with APA to the extent appropriate.
0
Bad
Failing
Poor
Average
Good
Excellent
Perfect
0
5
6
7
8
9
10
of 10
Final Total of 100
Bad
Does not evidence a good faith attempt to complete the assignment. Does not meet minimums in any significant way.
Failing
Significantly falls short of minimum expectations for the assignment.
Poor
Does not satisfy minimum expectations for the assignment.
Average
Satisfies minimum expectations for the assignment without additional positive elements such as additional scholarly sources, additional posts, very insightful comments that advance the overall discussion, etc.
Good
Exceeds minimums expectations for the assignment in some ways.
Excellent
Significantly exceeds minimum expectations for the assignment in many areas.
Perfect
Ostensibly exceeds minimum expectations for the assignment in all ways. Need for improvement of assignment is not evident in any way.
ITEC 200 PRACTICE LAB Database Queries 1
ITEC 200 Practice Lab
Writing Database Queries
INTRODUCTION
This assignment is a hands-on tutorial on how to prepare queries to retrieve the information you need
from a database. You will be using only one Structured Query Language (SQL) command: SELECT. The
SELECT command is the most useful SQL command to learn because it allows you to extract just about
any information you may need from a database.
DUE BEFORE you walk into the lab- THIS is the PRE-LAB
Skim all the instructions in this handout carefully before the lab session. Notice the Tour and the
Technical Notes on Queries
1. Download database. You need to download the database from Bb. Put it on your G drive or your
flash drive. If ...
ECET 450: Laboratory 2
Part B:
Purpose:
This laboratory provides practice in the creation of realistic tables and their relationships using Oracle SQL*Plus and introduces writing SQL*Plus script files. This laboratory exercise creates a relatively simple invoice system using SQL statements. This DB schema is used throughout the next several weeks of laboratory exercises. The final product is an SQL script that makes it possible to initially create and re-create, if need be, the DB schema in order to do to the later laboratory exercises.
Procedure:
Using your assigned user name, password, and host string, log in to Oracle SQL*Plus. Record your dialog with a spool file.
Following the four requirements below, create the 5 tables shown later in this laboratory exercise, and enter all data as shown. Be sure to record your interactions with SQL*Plus using the spool command.
1. Use table names, attribute names, and data exactly as shown. The one exception is that you will omit the dollar sign and comma separators in the money amounts. Accurately enter the data as you will need these tables in future laboratory assignments.
2. Save all of your commands in a single script file for printing and submission. This file should each contain a minimum of your name and the date in comments at the beginning of the file, and any other comments you feel add to the understanding of the script file. Copy and edit your spool file to create the load_tablesXXX.sql file where XXX are your initials. The only items that should be in this load_tablesXXX.sql file are your comments and the SQL statements that drop tables, create tables, insert data values, and display table. Be sure to remove all incorrect commands and the Oracle responses to the correct commands from the file. Save this file for the future in case you have to rebuild these tables. Be sure to include a printout of this file in your report.
3. The second submission requirement is a printout of each of the 5 tables completely loaded with the specified data. Use the SET LINESIZE command to avoid line wrap around of your table data. Print your list file in landscape mode.
4. All primary key and foreign key constraints should be named according to the method presented in the classroom. If you have any questions about which attributes are primary and/or foreign keys, please ask about them.
5. The ultimate test is the execution of this SQL script file in the following form: @ <path_name>/load_tablesXXX.sql
<First Page of tables>
REP Table
REP_ID
REP_LNAME
REP_FNAME
REP_STREET
REP_CITY
REP_STATE
REP_ZIP
REP_COMM
REP_RATE
223
Roma
Theresa
735 First
Leonard
GA
25742
$21,756.50
0.06
237
Miller
Fred
643 High
Sheldon
GA
25753
$38,612.00
0.08
268
Rodriguez
Miguel
2737 Tyler
Springfield
GA
25758
$19,774.00
0.06
CUSTOMER Table
CUST_ID
CUST_NAME
CUST_STREET
CUST_CITY
CUST_STATE
CUST_ZIP
CUST_BALANCE
CUST_LIMIT
REP_ID
1159
Charles Appliance and Sport
3948 Brown
Leonard
GA
257 ...
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Cis336 week 4 i lab 4
1. CIS 336 Week 4 iLab 4 Devry University
Click this link to get the tutorial:
http://homeworkfox.com/tutorials/general-
questions/4152/cis-336-week-4-ilab-4-devry-university/
Lab 4 of 7: Building the Physical Model (28 points)
Submit your assignment to the Dropbox located on the silver tab at the top of this page. For
instructions on how to use the Dropbox, please click here.
(See Syllabus/"Due Dates for Assignments & Exams" for due dates.)
LABOVERVIEW
Scenario/Summary
Lab #4 will introduce the various aspects of the SQL select statement and the methods of
retrieving data from the database tables. The lab will utilize a set of tables found in the script file
(LeeBooks.sql) found in the Doc Sharing area of the website. You will need to download the file,
then run the script in your SQL*Plus session. These tables will be used for the remaining labs in
this class.
The SELECT statement is the primary means of extracting data from database tables, and allows
you to determine exactly which data you want to extract by means of different comparison
operators used in the WHERE clause. This includes the use of specific "wild card" characters
which allow you to search for character or number patterns within the data. You can also
perform mathematical expressions within the SELECT statement to create derived output. The
ORDER BY clause allows you to sort the output data in either ascending (the default) or
descending order. Lab #4 will explore all of these applications of the SELECT statement.
General Lab Information and Considerations
Each query in the script file you will create must be numbered (use - -1 comments for
numbering) and listed in order. The SQL for the following exercises should be written using
Notepad and run in SQL*Plus. Read each problem carefully and follow the directions as stated.
A Clean Script File:
A script file is meant to be like a program. The file can be run every time the code needs to be
executed without having to retype the code again each time. For this reason, it is important that
there are no errors in the code inside the file. You can go back and forth between Notepad and
Oracle when creating your script file to check your queries and verify if they work or not, but
2. you do not want to create your final output file until after you have verified that everything in
your script is correct by running it, in its entirety at least once and viewing the output. Once this
has been done, you can create your final output file, with echo on to create the document you can
turn in with your lab. Remember in using a spool session, you must type "SPOOL OFF" at the
SQL> prompt after your script stops spooling to capture all of your data!
Lab Do's and Don’t's
Do Not include the LEEBOOKS.SQL as part of your lab script.
Do use Notepad to write your query script file.
Do Not write your queries in Word.
Do test each query before moving on to the next.
Do Not include extra queries for a problem unless the problem explicitly asks for more than one
query.
Do test your queries before creating your final output file.
Do Not turn in a script file that has queries with errors.
Do number each query using - -1 comment notation.
Do Not start your query on the same line as the comment.
Do remember to check your final output and script file for accuracy.
Do Not turn in your lab without first checking your output file to verify that it is correct.
Things to keep in mind:
If you are not sure of the table names in your user schema, you can use the following select
statement to list them.
SELECT * FROM TAB;
If you want to know the name of the columns in a particular table, you can use the following
command to list them.
DESC
Making a script file containing a series of describe statements for each table and then spooling
the output will give you a listing of all the tables with column names.
3. Be sure to review and verify your final output when you are finished. DO NOT assume anything.
Write queries for each of the stated problems in the steps below that will return a result set of
data to satisfy the requirements. When finished, your script file should have a total of 13 queries
and your resulting output file should show both the query and result set for each.
Deliverables
The deliverable for this lab will include:
Your script file with the 13 queries in it. Be sure your name, course number, and lab number are
in a comment area at the top of your file.
An output file created using SET ECHO ON showing both the SQL code and the results.
Both documents are to be zipped into a single file before submitting to the iLab Dropbox for
Week 4.
LABSTEPS
STEP 1:
Using the BOOKS table, write a query that will list the categories for the books in inventory. List
each category only once in your result set.
STEP 2:
Using the BOOKS table, write a query that will list the title and publisher ID for each book in the
table. Use the column heading of "Publisher ID" for the pubid field.
STEP 3:
Using the BOOKS table, write a query that will list the book title, retail price, and the amount of
markup for each book. The amount of markup is the retail price minus the cost. Use the column
heading “Price Markup” for the arithmetic expression column.
STEP 4:
Using the BOOK_CUSTOMER table, write a query that will list the customer’s first name, last
name, and city for those customers living in zip code 31206.
STEP 5:
Using the BOOK_ORDER table, write a query that will list everything about the orders placed
prior to April 2, 2009.
4. STEP 6:
Using the BOOK_ORDER table, write a query that will list everything about the orders that have
not been shipped yet.
STEP 7:
Using the BOOK_CUSTOMER table, write a query using the AND and OR operators that will
list the customer information for those customers living in either Florida or New Jersey who
have not been referred by another customer.
STEP 8:
Using the BOOKS table, write a query that will list all information about those books that are not
computer books and do not cost more than $30.00 retail.
STEP 9:
Using the AUTHOR table, write a query that will list all information about authors whose first
name ends with an “A”. Put the results in descending order of last name, and then ascending
order by first name. This should be done using a single query.
STEP 10:
Using the BOOK_ORDER table, write a query using the > and < operators that will list the
orders that were placed between April 1, 2009 and April 4, 2009. Only show the orders for April
2nd and 3rd in your result set.
STEP 11:
Using the BOOK_ORDER table, write a query that will list the orders that were placed between
April 2, 2009 and April 4, 2009 including those placed on the 2nd and 4th. Use a different
approach (operator) in writing this query than used in the query for #10, that is, do not use > and
< signs in your query.
STEP 12:
Using the BOOKS table, write a query that will list the book title, publisher ID, and published
date for all books that were published by publisher 4 or after January 1, 2001. Order the results in
ascending order by publisher ID and give the publish date and publisher ID columns meaningful
titles.
STEP 13:
Many organizations use percentage of markup (e.g., profit margin) when analyzing financial
data. To determine the percentage of markup for a particular item, simply subtract the cost for
5. the item from the retail price to obtain the dollar amount of profit, and then divide the profit by
the cost of the item. The resulting solution is then multiplied by 100 to determine the percent of
markup. Using a SELECT statement, display the title of each book and its percent of markup.
For the column displaying the percent of markup, use “Markup %” as the column heading.
This is the end of lab #4