This document describes SQL commands used to create tables, insert data, update data, and query data from various tables in a sample database. The tables created include Employee, Department, Dept_Location, Works_On, Project, and Dependent. Data is inserted into these tables and queries are written to retrieve specific data fields and relationships between the tables.
Spencer Christensen
There are many aspects to managing an RDBMS. Some of these are handled by an experienced DBA, but there are a good many things that any sys admin should be able to take care of if they know what to look for.
This presentation will cover basics of managing Postgres, including creating database clusters, overview of configuration, and logging. We will also look at tools to help monitor Postgres and keep an eye on what is going on. Some of the tools we will review are:
* pgtop
* pg_top
* pgfouine
* check_postgres.pl.
Check_postgres.pl is a great tool that can plug into your Nagios or Cacti monitoring systems, giving you even better visibility into your databases.
“We beleven een verandering van tijdperk” - Joachim De Vos en Griet Cappelle ...Kaat Vanrenterghem
Hoe zullen mensen in de toekomst sporten? Met wie zullen ze sporten en waar? Welke financiële middelen zullen er voor sport nog beschikbaar zijn? En welke sporten zullen populair zijn? Stap aan boord van de teletijdmachine van Living Tomorrow en reis mee naar 2040.
Uit: Sport&Strategie - NR 3 I september 2019 I jaargang 6
Spencer Christensen
There are many aspects to managing an RDBMS. Some of these are handled by an experienced DBA, but there are a good many things that any sys admin should be able to take care of if they know what to look for.
This presentation will cover basics of managing Postgres, including creating database clusters, overview of configuration, and logging. We will also look at tools to help monitor Postgres and keep an eye on what is going on. Some of the tools we will review are:
* pgtop
* pg_top
* pgfouine
* check_postgres.pl.
Check_postgres.pl is a great tool that can plug into your Nagios or Cacti monitoring systems, giving you even better visibility into your databases.
“We beleven een verandering van tijdperk” - Joachim De Vos en Griet Cappelle ...Kaat Vanrenterghem
Hoe zullen mensen in de toekomst sporten? Met wie zullen ze sporten en waar? Welke financiële middelen zullen er voor sport nog beschikbaar zijn? En welke sporten zullen populair zijn? Stap aan boord van de teletijdmachine van Living Tomorrow en reis mee naar 2040.
Uit: Sport&Strategie - NR 3 I september 2019 I jaargang 6
SQL Patterns in Practice - You're (Probably) Doing it Wrong - Methods for Imp...Sean Scott
Despite being "Structured" Query Language, there's not much structure required to write SQL. However, poorly formatted SQL makes debugging and editing more time consuming and inefficient than it needs to be. Bad examples of SQL abound and have found their way into the mainstream as practitioners adopt the methods they find on popular web sites and blogs into their own repertoire.
This presentation is appropriate for anyone who uses SQL, no matter how seasoned. It introduces pragmatic design patterns for writing SQL that make it easier (and more enjoyable) to understand and edit. Based on over 25 years of applied experience with SQL as a primary programming language, these techniques are are relevant to any implementation of SQL, including Oracle, MySQL, SQL Server and PostgreSQL.
In this presentation, you’ll get an overview of the capabilities of Oracle Application Server 10g, the fastest-growing middleware platform available today.
SQLcl overview - A new Command Line Interface for Oracle DatabaseJeff Smith
From the makers of Oracle SQL Developer, we present you a new take on SQL*Plus. A command line interface with a SQL history, table name completion, new commands like CTAS, DDL, Info, and simple things like editing your statement buffers using your keyboard up and down arrow keys!
SQL Patterns in Practice - You're (Probably) Doing it Wrong - Methods for Imp...Sean Scott
Despite being "Structured" Query Language, there's not much structure required to write SQL. However, poorly formatted SQL makes debugging and editing more time consuming and inefficient than it needs to be. Bad examples of SQL abound and have found their way into the mainstream as practitioners adopt the methods they find on popular web sites and blogs into their own repertoire.
This presentation is appropriate for anyone who uses SQL, no matter how seasoned. It introduces pragmatic design patterns for writing SQL that make it easier (and more enjoyable) to understand and edit. Based on over 25 years of applied experience with SQL as a primary programming language, these techniques are are relevant to any implementation of SQL, including Oracle, MySQL, SQL Server and PostgreSQL.
In this presentation, you’ll get an overview of the capabilities of Oracle Application Server 10g, the fastest-growing middleware platform available today.
SQLcl overview - A new Command Line Interface for Oracle DatabaseJeff Smith
From the makers of Oracle SQL Developer, we present you a new take on SQL*Plus. A command line interface with a SQL history, table name completion, new commands like CTAS, DDL, Info, and simple things like editing your statement buffers using your keyboard up and down arrow keys!
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
5. INSERT COMMAND:
INSERTING TUPLES INTO EMPLOYEE TABLE:
1. INSERT INTO EMPLOYEE VALUES (‘John’,’B’,’Smith’,’123456789’,’1965-01-09’,’731 Fondren, Houston,
TX’,’M’,30000,333445555,5)
2. INSERT INTO EMPLOYEE VALUES (‘Franklin’,’T’,’Wong’,333445555’,’1955-13-08’,’638 Voss,Houston,
TX’,’M’,40000,888665555,5)
3. INSERT INTO EMPLOYEE VALUES (‘Alicia’,’J’,’Zelaya’,’999887777’,’1968-01-19’,’3321 Castle,Spring,
TX’,’F’,25000,987654321,4)
4. INSERT INTO EMPLOYEE VALUES (‘Jennifer’,’S’,’Wallace’,’987654321’,’1941-06-20’,’291 Berry,Bellaire,
TX’,’F’,43000,888665555,4)
5. INSERT INTO EMPLOYEE VALUES (‘Ramesh’,’K’,’Narayan’,’666884444’,’1962-09-15’,’975 FireOak, Humble,
TX’,’M’,38000,333445555,5)
6. INSERT INTO EMPLOYEE VALUES (‘Joyce’,’A’,’English’,’453453453’,’1972-07-31’,’5631 Rice
,Houston,TX’,’F’,25000,333445555,5)
7. INSERT INTO EMPLOYEE VALUES (‘Ahmed’,’V’,’Jabbar’,’987987987’,’1969-03-29’,’980 Dallas,Houston,
TX’,’M’,25000,987654321,4)
8. INSERT INTO EMPLOYEE VALUES (‘James’,’E’,’Borg’,’888665555’,’1937-11-10’,’450 Stone, Houston,
TX’,’M’,55000,NULL,1)
EMPLOYEE
Fname Minit Lname Ssn Bdate Address Sex Salary Super_ssn Dno
Ahmad V Jabbar 987987987 29-Mar-69 980,Dallas Houstontx M 25000 987654321 4
Alicia J Zelaya 999887777 19-Jan-68 3321 castle,springtx F 25000 987654321 4
FranklinT Wong 333445555 08-Dec-55 638 voss,Houstontx M 40000 888665555 5
James E Borg 888665555 10-Nov-37 450 Stone ,Houstontx M 55000 1
JenniferS Wallace 987654321 20-Jun-41 291 berry,Bellaire,tx F 43000 888665555 4
John B Smith 123456789 09-Jan-65 731 Fondren,Houston,TX M 30000 333445555 5
Joyce A English 453453453 31-Jul-72 5631 Rice,Houstontx F 25000 333445555 5
RameshK Narayan 666884444 15-Sep-62 975,Fire Oak ,Humble,tx M 38000 333445555 5
INSERTING TUPLES INTO DEPARTMENT TABLE:
1. INSERT INTO DEPARTMENT VALUES (‘Research’,5,333445555,’1988-05-22’)
2. INSERT INTO DEPARTMENT VALUES (‘Administration’,4,987654321,’1995-01-01’)
3. INSERT INTO DEPARTMENT VALUES (‘Headquarters’1,888665555,’1981-06-19’)
DEPARTMENT
Dname Dnumber Mgr_ssn Mgr_start_date
RESEARCH 1 888665555 19-Jun-81
Administration 4 987654321 01-Jan-95
Research 5 333445555 22-May-88
6. INSERTING TUPLES INTO DEPT_LOCATIONS TABLE:
1. INSERT INTO DEPT_LOCATIONS VALUES (1,’Houston’)
2. INSERT INTO DEPT_LOCATIONS VALUES (4,’Stafford’)
3. INSERT INTO DEPT_LOCATIONS VALUES (5,’Bellaire’)
4. INSERT INTO DEPT_LOCATIONS VALUES (5,’Sugarland’)
5. INSERT INTO DEPT_LOCATIONS VALUES (5,’Houston’)
INSERTING TUPLES INTO WORKS_ON TABLE:
1. INSERT INTO WORKS_ON VALUES(123456789,1,32.5)
2. INSERT INTO WORKS_ON VALUES(123456789,2,7.5)
3. INSERT INTO WORKS_ON VALUES(666884444,3,40.0)
4. INSERT INTO WORKS_ON VALUES(453453453,1,20.0)
5. INSERT INTO WORKS_ON VALUES(453453453,2,20.0)
6. INSERT INTO WORKS_ON VALUES(333445555,2,10.0)
7. INSERT INTO WORKS_ON VALUES(333445555,3,10.0)
8. INSERT INTO WORKS_ON VALUES(333445555,10,10.0)
9. INSERT INTO WORKS_ON VALUES(333445555,20,10.0)
10. INSERT INTO WORKS_ON VALUES(999887777,30,30.0)
11. INSERT INTO WORKS_ON VALUES(999887777,10,10.0)
12. INSERT INTO WORKS_ON VALUES(987987987,10,10.0)
13. INSERT INTO WORKS_ON VALUES(987987987,30,5.0)
14. INSERT INTO WORKS_ON VALUES(987654321,30,20.0)
15. INSERT INTO WORKS_ON VALUES(987654321,20,15.0)
16. INSERT INTO WORKS_ON VALUES(888665555,20,NULL)
INSERTING TUPLES INTO PROJECT TABLE:
1. INSERT INTO PROJECT VALUES(‘ProductX’,1,’Bellaire’,5)
2. INSERT INTO PROJECT VALUES(‘ProductY’,2,’Sugarland’,5)
3. INSERT INTO PROJECT VALUES(‘ProductZ’,3,’Houston’,5)
4. INSERT INTO PROJECT VALUES(‘Computerization’,10,’Stafford’,4)
5. INSERT INTO PROJECT VALUES(‘Reorganization’,20,’Houston’,1)
6. INSERT INTO PROJECT VALUES(‘Newbenefits’30,’Stafford’,4)
PROJECT
Pname Pnumber Plocation Dnum
ProductX 1 Bellaire 5
ProductY 2 Sugarland 5
ProductZ 3 Houston 5
Computerization 10 Stafford 4
Reorganization 20 Houston 1
Newbenefits 30 Stafford 4
DEPT_LOCATION
Dnumber Dlocation
1 Houston
4 Stafford
5 Bellaire
5 Houston
5 Sugarland
WORKS_ON
Essn Pno Hours
123456789 1 32
123456789 2 7.5
666884444 3 40
435453453 1 20
435453453 2 20
333445555 2 10
333445555 3 10
333445555 10 10
333445555 10 10
333445555 20 10
999887777 30 30
999887777 10 10
987987987 10 35
987987987 30 5
987654321 30 20
987654321 20 15
888665555 20
7. INSERTING TUPLES INTO DEPENDENT TABLE:
1. INSERT INTO DEPENDENT VALUES(‘333445555’,’Alice’,’F’,’1986-04-05’,’Daughter’)
2. INSERT INTO DEPENDENT VALUES(‘333445555’,’Theodore’,’M’,’1983-10-25’,’Son’)
3. INSERT INTO DEPENDENT VALUES(‘333445555’,’Joy’,’F’,’1958-05-03’,’Spouse’)
4. INSERT INTO DEPENDENT VALUES(‘987654321’,’Abner’,’1942-02-28’,’Spouse’)
5. INSERT INTO DEPENDENT VALUES(‘123456789’,’Michael’,’1988-01-04’,’Son’)
6. INSERT INTO DEPENDENT VALUES(‘123456789’,’Alice’,’F’,’1988-12-30’,’Daughter’)
7. INSERT INTO DEPENDENT VALUES(‘123456789’,’Elizabeth’,’F’,’1967-05-05’,’Spouse’)
DEPENDENT
Essn Dependent_name Sex Bdate Relationship
333445555 Alice F 05-Apr-86 Daughter
333445555 Theodore M 25-Oct-83 Son
333445555 Joy F 03-May-58 Spouse
987654321 Abner M 28-Feb-42 Spouse
123456789 Michael M 04-Jan-88 Son
123456789 Alice F 30-Dec-88 Daughter
123456789 Elizabeth F 05-May-67 Spouse
DELETE COMMAND:
1. DELETE FROM PROJECT
WHERE Pname=’ProductX’
2. DELETE FROM PROJECT
WHERE Pnumber=3
UPDATE COMMAND:
1. UPDATE DEPARTMENT
SET Dname=’Research’
WHERE Dnum=1
PROJECT
Pname Pnumber Plocation Dnum
#Deleted #Deleted
ProductY 2 Sugarland 5
#Deleted #Deleted
Computerization 10 Stafford 4
Reorganisation 20 Houston 1
Newbenefits 30 Stafford 4
DEPARTMENT
Dname Dnumber Mgr_ssn Mgr_start_date
Research 1 888665555 19-Jun-81
Administration 4 987654321 01-Jan-95
Research 5 333445555 22-May-88
8. Q1. Retrieve the birthdate andaddressof the employeewhose name is‘JohnBSmith’.
SELECT Bdate ,Address
FROM EMPLOYEE
WHERE Fname='john'ANDLname='Smith'
Q2. Retrieve the name andaddressof the all employee whoworkforthe ‘Research’Department.
SELECT Fname ,Minit,Address
FROM EMPLOYEE,DEPARTMENT
WHERE Dname='RESEARCH'AND Dnumber=Dno
Q3.For everyprojectlocatedinthe ‘Stafford’,listthe projectnumber,the controllingdepartment
numberandthe departmentmanagerlastname ,addressandbirthdate.
SELECT Pnumber,Dnum,Lname,Address,Bdate
FROM PROJECT,DEPARTMENT,EMPLOYEE
WHERE project.dnum=department.dnumberand
department.mgr_ssn=employee.ssnand
project.plocation='Stafford'
Q4.For each employeeretrieve the employeefirstandlastname andthe firstand last name of hisor her
immediate supervisior.
SELECT E1.Fname,E1.Lname ,E2.Fname ASSupervisior_Fname,E2.LnameasSupervisior_Lname
FROM EMPLOYEE ASE1,EMPLOYEE AS E2
WHERE E1.super_ssn=E2.ssn
Q1
Bdate Address
09-Jan-65 731 Fondren Houston,TX
Q2
Fname Minit Lname Address
John B Smith 731 FondrenHouston, TX
Franklin T Wong 638 Voss,Houston,TX
Joyce A English 5631 Rice,Houston,TX
Ramesh K Narayan 975,Fire Oak ,Humble,TX
Q3
Pnumber Dnum Lname Address Bdate
10 4 Wallace 291 Berry,Bellaire, TX 20-Jun-41
30 4 Wallace 291 Berry,Bellaire,TX 20-Jun-41
Q4
Fname Lname Supervisior_Fname Supervisior_Lname
John Smith Franklin Wong
Joyce English Franklin Wong
RameshNarayan Franklin Wong
FranklinWong James Borg
JenniferWallace James Borg
Ahmad Jabbar Jennifer Wallace
Alicia Zelaya Jennifer Wallace
9. Q5.Make a listof the all projectnumberforprojectsthat involve anemployeewhoselastname is
‘Smith’eitherasa workeroras Manager of the departmentthatcontrolsthe projects.
(SELECT DISTINCT Pnumber
FROM PROJECT,DEPARTMENT,EMPLOYEE
WHERE Dnum=Dnumberandmgr_ssn=ssnandLname='Smith')
UNION
(SELECT DISTINCTPnumber
FROM PROJECT,WORKS_ON ,EMPLOYEE
WHERE Pnumber=Pnoand Essn=ssnand Lname='Smith')
Q6.Retrieve all the employeewhose AddressisinHoustonTexas.
SELECT Fname,Minit,Lname,Address
FROM EMPLOYEE
WHERE AddressLike '*Houston*'
Q7.Findall employee whowere bornduring1955’s.
SELECT Fname,Lname,Bdate
FROM EMPLOYEE
WHERE year(bdate)='1955'
Q8.Showthe increasedsalariesif everyemployeeworkingon‘ProductX’projectisgivena10 percent
raise.
SELECT Fname,Minit,Lname,1.1*SalaryasIncreased_Salary
FROM EMPLOYEE,WORKS_ON,PROJECT
WHERE ssn=Essnand Pno=PnumberandPname ='ProductX'
Q9.Retrieve all employee indepartment5whose salaryisb/w $30000 and $40000.
SELECT Fname ,Minit,Lname,Salary
FROM EMPLOYEE
WHERE salarybetween30000 and 40000
Q5
Pnumber
1
2
Q6
Fname Minit Lname Address
John B Smith 731 FondrenHouston,TX
Franklin T Wong 638 Voss,Houston,TX
Joyce A English 5631 Rice, Houston,TX
James E Borg 450 Stone ,Houston,TX
Ahmad V Jabbar 980,Dallas Houston,TX
Q7
Fname Lname Bdate
FranklinWong 08-Dec-55
Q8
Fname Minit Lname Increased_Salary
John B Smith 33000
Q9
Fname Minit Lname Salary
John B Smith 30000
Franklin T Wong 40000
Ramesh K Narayan 38000
10. Q10.Retrieve the name of the employee andhissalarywhoisearningMaximum.
SELECT MAX(Salary) as[Max_sal]
FROM EMPLOYEE
Q11.Retrieve the salaryof the 2nd
Highestearningemployeeandit’sname.
SELECT Fname,Minit,Lname,salary
FROM EMPLOYEE
WHERE Salary=(SELECTMAX(salary) FROMemployee WHEREsalary<(SELECT MAX(salary) FROM
employee ))
Q12.Retrieve alistof the employeeandthe Projectstheyare workingonorderedbydepartmentand
withindepartmentorderedbythe alphabeticallybylastname thenfirstname.
SELECT Dname ,Lname ,Fname ,Pname
FROM EMPLOYEE,DEPARTMENT,PROJECT,WORKS_ON
WHERE Dnumber=dnoandssn=essnandpno=Pnumber
orderby dname ,Lname,Fname
Q10
Max_sal
55000
Q11
Fname Minit Lname salary
JenniferS Wallace 43000
Q12
Dname Lname Fname Pname
Administration Jabbar Ahmad Newbenefits
Administration Jabbar Ahmad Computerization
Administration Wallace Jennifer Newbenefits
Administration Wallace Jennifer Reorganisation
Administration Zelaya Alicia Newbenefits
Administration Zelaya Alicia Computerization
Headquarters Borg James Reorganisation
Research Narayan Ramesh ProductZ
Research Smith John ProductY
Research Smith John ProductX
Research Wong Franklin Reorganisation
Research Wong Franklin Computerization
Research Wong Franklin Computerization
Research Wong Franklin ProductZ
Research Wong Franklin ProductY