This document describes a team database project created by students Liz Thomas, Leon Tang, Latrell Trotter, Haley Nixon. It includes an ER diagram showing 6 entities (VENDOR, DEPARTMENT, SKILL, PROJECT, EMPLOYEE, LOCATION) and 1 associative entity (EMP SKILL). It describes the tables created for each entity and normalization steps taken. It provides SQL scripts for inserting data into tables like EMPLOYEE, DEPARTMENT, PROJECT, and DEPENDENTS. It also includes descriptions of other tables created like JOB, SKILL, VENDOR, and trigger examples. The document discusses if a DBMS is suitable for Project Inc considering costs and benefits.
DROP TABLE IF EXISTS STUDENT;DROP TABLE IF EXISTS CAMPUS;DRO.docxgreg1eden90113
This document defines the schema for a university database including tables for students, courses, instructors, grades, class schedules, and more. It includes SQL commands to create the tables, define fields and primary keys, and insert sample data. The tables created are student, campus, semester, room, grades, course, and instructor to model entities and relationships in a university database.
DROP TABLE IF EXISTS STUDENT;DROP TABLE IF EXISTS CAMPUS;DROAlyciaGold776
This document defines the schema for a university database including tables for students, courses, instructors, grades, class schedules, and more. It includes SQL commands to create the tables, define fields and primary keys, and insert sample data. The tables created are student, campus, semester, room, grades, course, and instructor to model entities and relationships in a university database.
Starting from the database used in Project 1 (see the slightly cha.docxdessiechisomjj4
Starting from the database used in Project 1 (see the slightly changed schema from the original version used in P1, defined in the attached DDL file), a data warehouse star schema with the following characteristics will be defined:
· Dimension tables:
1. Date
2. Product
3. Customer
· Fact table:
1. Sales
For this final project, perform the following steps:
· Create the tables defined above in a star schema. Add the necessary columns in each table to facilitate the implementation of the queries defined below. Only the four tables listed above are allowed in that star schema
· Write PL/SQL code (anonymous blocks and/or subprograms) to populate the warehouse schema with data from the normalized database provided in the attached DDL script
· Write SQL code to perform the following queries:
1. What customer age group spent the most money in the last year? An age group is defined as a ten years interval, such as: 11 – 20, 21 – 30, etc
2. In what zip codes did the highest number of sales (number of items) occur during April 2015?
3. What day of the week did they do most business (by value of sales) in the last year?
4. What quarter is the worst (by value of sales) for each product category, using the whole set of historical data available in the warehouse?
5. What was the best sales month for each product in the last year?
· Write a couple of paragraphs describing:
. How this small data warehouse can help decision making
. How is it different from the original database used as data source
Submit the PL/SQL blocks and SQL statements as a text file (Notepad) following the document naming convention FirstLastFP.txt.
Grading: this project is awarded 100 points
15 points
DDL Script to create the tables in the star schema
25 points
PL/SQL code to populate the star schema from the original database
5 x 10 points
SQL statements for each of the requested queries
10 points
Description of how this data warehouse helps decision making and how it differs from regular databases
DROP TABLE ORDER_ITEMS;
DROP TABLE ORDERS;
DROP TABLE CUSTOMERS;
DROP TABLE PRODUCTS;
DROP TABLE CATEGORIES;
CREATE TABLE CATEGORIES (
ID NUMBER PRIMARY KEY,
Name VARCHAR2(20) NOT NULL);
CREATE TABLE PRODUCTS (
ID NUMBER PRIMARY KEY,
CatID NUMBER,
Name VARCHAR2(20) NOT NULL,
Price NUMBER NOT NULL,
FOREIGN KEY (CatID) REFERENCES CATEGORIES(ID));
CREATE TABLE CUSTOMERS (
ID NUMBER PRIMARY KEY,
Name VARCHAR2(50) NOT NULL,
DOB DATE NOT NULL,
Email VARCHAR2(50),
ZipCode CHAR(5) NOT NULL);
CREATE TABLE ORDERS (
ID NUMBER PRIMARY KEY,
CustID NUMBER NOT NULL,
DatePlaced DATE DEFAULT SYSDATE,
FOREIGN KEY (CustID) REFERENCES CUSTOMERS(ID));
CREATE TABLE ORDER_ITEMS (
OrderID NUMBER NOT NULL,
ProdID NUMBER NOT NULL,
Quantity NUMBER DEFAULT 1,
DateShipped DATE,
FOREIGN KEY (OrderID) REFERENCES ORDERS(ID),
FOREIGN KEY (ProdID) REFERENCES PRODUCTS(ID));
INSERT INTO CATEGORIES VALUES (1, 'Books');
INSERT INTO CATEGORIES VALUES (2, '.
The document describes a series of INSERT operations applied to a database and discusses any integrity constraints that would be violated by each operation. Some of the operations violate primary key, foreign key, and null value constraints. The different ways of enforcing constraints, such as cascading deletes or setting columns to null, are also discussed for the DELETE operations.
I have the attached copy of the assignment description. And here is .docxsamirapdcosden
I have the attached copy of the assignment description. And here is the scripts.
/* Database Systems, 9th Ed., Coronel/MOrris/Rob */
/* Type of SQL : MySQL */
CREATE SCHEMA TINY_VIDEO;
USE TINY_VIDEO;
/*Create table price*/
CREATE TABLE price
(price_id INTEGER PRIMARY KEY AUTO_INCREMENT,
description VARCHAR(20) NOT NULL,
rental_fee DECIMAL(5,2),
daily_late_fee DECIMAL(5,2));
/*Insert data into price*/
INSERT INTO price VALUES(1,'Standard',2.5,1);
INSERT INTO price VALUES(2,'New Release',4.0,3);
INSERT INTO price VALUES(3,'Discount',2.0,1);
INSERT INTO price VALUES(4,'Weekly Special',1.5,.5);
/*Create table movie*/
CREATE TABLE movie
(movie_id INTEGER PRIMARY KEY AUTO_INCREMENT,
title VARCHAR(75) NOT NULL,
year_released INTEGER,
cost DECIMAL(5,2),
genre VARCHAR(50),
price_id INTEGER,
FOREIGN KEY(price_id) REFERENCES price(price_id));
/*Insert data into movie*/
INSERT INTO movie VALUES(1234,'The Cesar Family Christmas',2007,39.95,'FAMILY',2);
INSERT INTO movie VALUES(1235,'Smokey Mountain Wildlife',2004,59.95,'ACTION',3);
INSERT INTO movie VALUES(1236,'Richard Goodhope',2008,59.95,'DRAMA',2);
INSERT INTO movie VALUES(1237,'Beatnik Fever',2007,29.95,'COMEDY',2);
INSERT INTO movie VALUES(1238,'Constant Companion',2008,89.95,'DRAMA',NULL);
INSERT INTO movie VALUES(1239,'Where Hope Dies',1998,25.49,'DRAMA',3);
INSERT INTO movie VALUES(1245,'Time to Burn',2006,45.49,'ACTION',3);
INSERT INTO movie VALUES(1246,'What He Doesn''t Know',2006,58.29,'COMEDY',1);
/*Create table video*/
CREATE TABLE video
(video_id INTEGER PRIMARY KEY AUTO_INCREMENT,
purchase_date DATE,
movie_id INTEGER,
FOREIGN KEY(movie_id) REFERENCES movie(movie_id));
/*Insert data into video*/
INSERT INTO video VALUES(54321,'2008-06-18',1234);
INSERT INTO video VALUES(54324,'2008-06-18',1234);
INSERT INTO video VALUES(54325,'2008-06-18',1234);
INSERT INTO video VALUES(34341,'2007-01-22',1235);
INSERT INTO video VALUES(34342,'2007-01-22',1235);
INSERT INTO video VALUES(34366,'2009-03-02',1236);
INSERT INTO video VALUES(34367,'2009-03-02',1236);
INSERT INTO video VALUES(34368,'2009-03-02',1236);
INSERT INTO video VALUES(34369,'2009-03-02',1236);
INSERT INTO video VALUES(44392,'2008-10-21',1237);
INSERT INTO video VALUES(44397,'2008-10-21',1237);
INSERT INTO video VALUES(59237,'2009-02-14',1237);
INSERT INTO video VALUES(61388,'2007-01-25',1239);
INSERT INTO video VALUES(61353,'2006-01-28',1245);
INSERT INTO video VALUES(61354,'2006-01-28',1245);
INSERT INTO video VALUES(61367,'2008-07-30',1246);
INSERT INTO video VALUES(61369,'2008-07-30',1246);
/*Create table membership*/
CREATE TABLE membership
(membership_id INTEGER PRIMARY KEY AUTO_INCREMENT,
first_name VARCHAR(30) NOT NULL,
last_name VARCHAR(30) NOT NULL,
street VARCHAR(120),
city VARCHAR(50),
state VARCHAR(2),
zi.
DROP TABLE IF EXISTS STUDENT;DROP TABLE IF EXISTS CAMPUS;DRO.docxgreg1eden90113
This document defines the schema for a university database including tables for students, courses, instructors, grades, class schedules, and more. It includes SQL commands to create the tables, define fields and primary keys, and insert sample data. The tables created are student, campus, semester, room, grades, course, and instructor to model entities and relationships in a university database.
DROP TABLE IF EXISTS STUDENT;DROP TABLE IF EXISTS CAMPUS;DROAlyciaGold776
This document defines the schema for a university database including tables for students, courses, instructors, grades, class schedules, and more. It includes SQL commands to create the tables, define fields and primary keys, and insert sample data. The tables created are student, campus, semester, room, grades, course, and instructor to model entities and relationships in a university database.
Starting from the database used in Project 1 (see the slightly cha.docxdessiechisomjj4
Starting from the database used in Project 1 (see the slightly changed schema from the original version used in P1, defined in the attached DDL file), a data warehouse star schema with the following characteristics will be defined:
· Dimension tables:
1. Date
2. Product
3. Customer
· Fact table:
1. Sales
For this final project, perform the following steps:
· Create the tables defined above in a star schema. Add the necessary columns in each table to facilitate the implementation of the queries defined below. Only the four tables listed above are allowed in that star schema
· Write PL/SQL code (anonymous blocks and/or subprograms) to populate the warehouse schema with data from the normalized database provided in the attached DDL script
· Write SQL code to perform the following queries:
1. What customer age group spent the most money in the last year? An age group is defined as a ten years interval, such as: 11 – 20, 21 – 30, etc
2. In what zip codes did the highest number of sales (number of items) occur during April 2015?
3. What day of the week did they do most business (by value of sales) in the last year?
4. What quarter is the worst (by value of sales) for each product category, using the whole set of historical data available in the warehouse?
5. What was the best sales month for each product in the last year?
· Write a couple of paragraphs describing:
. How this small data warehouse can help decision making
. How is it different from the original database used as data source
Submit the PL/SQL blocks and SQL statements as a text file (Notepad) following the document naming convention FirstLastFP.txt.
Grading: this project is awarded 100 points
15 points
DDL Script to create the tables in the star schema
25 points
PL/SQL code to populate the star schema from the original database
5 x 10 points
SQL statements for each of the requested queries
10 points
Description of how this data warehouse helps decision making and how it differs from regular databases
DROP TABLE ORDER_ITEMS;
DROP TABLE ORDERS;
DROP TABLE CUSTOMERS;
DROP TABLE PRODUCTS;
DROP TABLE CATEGORIES;
CREATE TABLE CATEGORIES (
ID NUMBER PRIMARY KEY,
Name VARCHAR2(20) NOT NULL);
CREATE TABLE PRODUCTS (
ID NUMBER PRIMARY KEY,
CatID NUMBER,
Name VARCHAR2(20) NOT NULL,
Price NUMBER NOT NULL,
FOREIGN KEY (CatID) REFERENCES CATEGORIES(ID));
CREATE TABLE CUSTOMERS (
ID NUMBER PRIMARY KEY,
Name VARCHAR2(50) NOT NULL,
DOB DATE NOT NULL,
Email VARCHAR2(50),
ZipCode CHAR(5) NOT NULL);
CREATE TABLE ORDERS (
ID NUMBER PRIMARY KEY,
CustID NUMBER NOT NULL,
DatePlaced DATE DEFAULT SYSDATE,
FOREIGN KEY (CustID) REFERENCES CUSTOMERS(ID));
CREATE TABLE ORDER_ITEMS (
OrderID NUMBER NOT NULL,
ProdID NUMBER NOT NULL,
Quantity NUMBER DEFAULT 1,
DateShipped DATE,
FOREIGN KEY (OrderID) REFERENCES ORDERS(ID),
FOREIGN KEY (ProdID) REFERENCES PRODUCTS(ID));
INSERT INTO CATEGORIES VALUES (1, 'Books');
INSERT INTO CATEGORIES VALUES (2, '.
The document describes a series of INSERT operations applied to a database and discusses any integrity constraints that would be violated by each operation. Some of the operations violate primary key, foreign key, and null value constraints. The different ways of enforcing constraints, such as cascading deletes or setting columns to null, are also discussed for the DELETE operations.
I have the attached copy of the assignment description. And here is .docxsamirapdcosden
I have the attached copy of the assignment description. And here is the scripts.
/* Database Systems, 9th Ed., Coronel/MOrris/Rob */
/* Type of SQL : MySQL */
CREATE SCHEMA TINY_VIDEO;
USE TINY_VIDEO;
/*Create table price*/
CREATE TABLE price
(price_id INTEGER PRIMARY KEY AUTO_INCREMENT,
description VARCHAR(20) NOT NULL,
rental_fee DECIMAL(5,2),
daily_late_fee DECIMAL(5,2));
/*Insert data into price*/
INSERT INTO price VALUES(1,'Standard',2.5,1);
INSERT INTO price VALUES(2,'New Release',4.0,3);
INSERT INTO price VALUES(3,'Discount',2.0,1);
INSERT INTO price VALUES(4,'Weekly Special',1.5,.5);
/*Create table movie*/
CREATE TABLE movie
(movie_id INTEGER PRIMARY KEY AUTO_INCREMENT,
title VARCHAR(75) NOT NULL,
year_released INTEGER,
cost DECIMAL(5,2),
genre VARCHAR(50),
price_id INTEGER,
FOREIGN KEY(price_id) REFERENCES price(price_id));
/*Insert data into movie*/
INSERT INTO movie VALUES(1234,'The Cesar Family Christmas',2007,39.95,'FAMILY',2);
INSERT INTO movie VALUES(1235,'Smokey Mountain Wildlife',2004,59.95,'ACTION',3);
INSERT INTO movie VALUES(1236,'Richard Goodhope',2008,59.95,'DRAMA',2);
INSERT INTO movie VALUES(1237,'Beatnik Fever',2007,29.95,'COMEDY',2);
INSERT INTO movie VALUES(1238,'Constant Companion',2008,89.95,'DRAMA',NULL);
INSERT INTO movie VALUES(1239,'Where Hope Dies',1998,25.49,'DRAMA',3);
INSERT INTO movie VALUES(1245,'Time to Burn',2006,45.49,'ACTION',3);
INSERT INTO movie VALUES(1246,'What He Doesn''t Know',2006,58.29,'COMEDY',1);
/*Create table video*/
CREATE TABLE video
(video_id INTEGER PRIMARY KEY AUTO_INCREMENT,
purchase_date DATE,
movie_id INTEGER,
FOREIGN KEY(movie_id) REFERENCES movie(movie_id));
/*Insert data into video*/
INSERT INTO video VALUES(54321,'2008-06-18',1234);
INSERT INTO video VALUES(54324,'2008-06-18',1234);
INSERT INTO video VALUES(54325,'2008-06-18',1234);
INSERT INTO video VALUES(34341,'2007-01-22',1235);
INSERT INTO video VALUES(34342,'2007-01-22',1235);
INSERT INTO video VALUES(34366,'2009-03-02',1236);
INSERT INTO video VALUES(34367,'2009-03-02',1236);
INSERT INTO video VALUES(34368,'2009-03-02',1236);
INSERT INTO video VALUES(34369,'2009-03-02',1236);
INSERT INTO video VALUES(44392,'2008-10-21',1237);
INSERT INTO video VALUES(44397,'2008-10-21',1237);
INSERT INTO video VALUES(59237,'2009-02-14',1237);
INSERT INTO video VALUES(61388,'2007-01-25',1239);
INSERT INTO video VALUES(61353,'2006-01-28',1245);
INSERT INTO video VALUES(61354,'2006-01-28',1245);
INSERT INTO video VALUES(61367,'2008-07-30',1246);
INSERT INTO video VALUES(61369,'2008-07-30',1246);
/*Create table membership*/
CREATE TABLE membership
(membership_id INTEGER PRIMARY KEY AUTO_INCREMENT,
first_name VARCHAR(30) NOT NULL,
last_name VARCHAR(30) NOT NULL,
street VARCHAR(120),
city VARCHAR(50),
state VARCHAR(2),
zi.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
2. There are six entities
VENDOR, DEPARTMENT,
SKILL, PROJECT,
EMPLOYEE, and
LOCATION with one
associative entity EMP
SKILL in this Project, Inc.
system.
ER Diagram
7. • EMPLOYEE
• 1NF
• 2NF
• 3NF
• Transitive
• Spouse emp# and marriage moved to a
separate table
8. • EMPLOYEE(EMP_SSN, FIRST_NAME,
LAST_NAME, SALARY, SEX, JOB_TYPE,
DEPT_DUM, DOB,SUPER_SSN)
• WORKS_ON(EMP_SSN, PNO, HOURS)
• DEPARTMENT(DEPT_NUM, DEPT_NAME,
MANAGER_SSN, MANAGER_DOJ)
• DLOCATIONS(DEPT_NUM, DLOCATIONS)
• PROJECT(PROJ_NUM, PROJ_NAME,
DEPT_NUM)
• DEPENDENT(EMP_SSN, FIRST_NAME,
LAST_NAME, GENDER, DOB, RELATIONSHIP)
NORMALIZATION
Since each department may
have a different location,
there may be many
department location entries
for a specific department
number. Therefore, the
department table is not in the
INF form. Similarly an
employee may work for
several projects, so for each
entry of the employee, there
may be different entries for a
specific project number.
Hence the table,
EMPLOYEE, will not be in
18. TABLES
DEPARTMENT
• SELECT *
• FROM DEPARTMENTS;
Information Technology
Public Relations
Custodial
Records
Research and Development
Operations
Finance
Human Relations
Sales and Marketing
Accounting
Integration Management
19. INSERT INTO DEPARTMENT
VALUES ('Finance', '123-1111', 'James Smith');
INSERT INTO DEPARTMENT
VALUES ('Human Resources', '123-1112', 'Mary Johnson');
INSERT INTO DEPARTMENT
VALUES ('Information Technology', '123-1113', 'John
Williams');
INSERT INTO DEPARTMENT
VALUES ('Service', '123-1114', 'Patricia Jones');
INSERT INTO DEPARTMENT
VALUES ('Sales', '123-1115', 'Robert Brown');
INSERT INTO DEPARTMENT
VALUES ('Accounting', '123-1116', 'Jennifer Davis');
INSERT INTO DEPARTMENT
VALUES ('Marketing', '123-1117', 'Michael Miller');
INSERT INTO DEPARTMENT
VALUES ('Administrative', '123-1118', 'Linda Wilson');
INSERT INTO DEPARTMENT
VALUES ('Planning', '123-1119', 'William Moore');
INSERT INTO DEPARTMENT
VALUES ('Legal', '123-1120', 'Elizabeth Taylor');
INSERT INTO DEPARTMENT
VALUES ('Maintenance', '123-1121', 'David Anderson');
TABLE-INSERTION FOR DEPARTMENT
20. Insertion for department
work history
INSERT INTO DepartmentWorkhistory
VALUES ('1','1', 'October 31,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('1','11','October 31,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('1','2','October 31,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('2','3','November 5,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('2','5','November 5,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('3','6','November 7,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('3','8','November 7,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('3','9','November 7,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('4','4', 'November 9,2014');
INSERT INTO DepartmentWorkhistory
VALUES ('5','10','November 13,2014');
INSERT INTO DEepartmentWorkhistory
VALUES ('5','7','November 13,2014');
21. TABLES- DEPARTMENT WORK
HISTORY
CREATE TABLE DepartmentWorkhistory (
hist_number VARCHAR2(20),
hist_dparmentnumber
VARCHAR2(10),
hist_start VARCHAR2(20)
);
23. TABLE INSERTION FOR PROJECT
INSERT INTO proj
VALUES ('BATMAN', 1, 'Building 1',
'$350000');
INSERT INTO proj
VALUES ('BIGFOOT', 2, 'Building 2',
'$500000');
INSERT INTO proj
VALUES ('CANARY', 3, 'Building 3',
'$150000');
INSERT INTO proj
VALUES ('CASANOVA', 4, 'Building 1',
'$640000');
INSERT INTO proj
VALUES ('WHISTLER', 5, 'Building 3',
'$300000');
24. TABLES FOR PROJ
LOCATIONS
CREATE TABLE ProjLocations (
"3334 Princess Anne Rd Virginia Beach VA" VARCHAR(35),
"1320 Greenbrier Pkwy Chesapeake, VA" VARCHAR(40),
"201 S Rosemont RD Virginia Beach, VA" VARCHAR(40),
"1800 Greenbrier Pkwy Chesapeake, VA" VARCHAR(45),
"111 W Tazewell St Norfolk, VA" VARCHAR(35),
"217 Grace St Norfolk, VA" VARCHAR(20),
"565 Cedar Rd Chesapeake, VA" VARCHAR(25),
"4532 Columbus St Virginia Beach,VA" VARCHAR(30)
);
25. Insertion for MarPart
INSERT INTO MARPART
VALUES ('1','1');
INSERT INTO MARPART
VALUES ('2','6');
INSERT INTO MARPART
VALUES ('3','2');
INSERT INTO MARPART
VALUES ('4','4');
INSERT INTO MARPART
VALUES ('5','3');
INSERT INTO MARPART
VALUES ('6','5');
49. LEON’S QUERIES
1. Add 2 columns to the EMPLOYEE table, one for employee start date and one for name of spouse
ALTER TABLE EMPLOYEE ADD(emp_startdate VARCHAR2(20), emp_spouse VARCHAR(20) );
1. Show the wages of employees from the EMPLOYEE table.
SELECT emp_salary FROM EMPLOYEE;
1. Add a new dependent into the DEPENDENTS table for William Moore’s son, Wilheim, who is a male,
born June 20, 2019.
INSERT INTO DEPENDENTS VALUES( ‘Wilheim’, ‘male’, ‘June 20, 2019’, ‘William Moore’s son’};
50. HALEY’S QUERIES
1. Add a column to PROJ table for the projects start date
ALTER TABLE PROJ ADD (proj_start_date DATE);
1. Add new employee Haley Nixon.
INSERT INTO EMPLOYEE VALUES (13, ‘Haley Nixon’, ‘1517 Monarch Way’,
‘Norfolk’, ‘VA’, ‘55,000’, ‘female’, ‘September 12, 1997’);
1. After Haley’s first year of employment, she received a raise totaling $75,000.
Update her salary earned.
UPDATE EMPLOYEE SET salary = ‘75,000’ WHERE emp_id = ‘13’;
51. LATRELL’S QUERIES
1. The project manager needs the addresses of all the vendors to properly document
information. Display the addresses only from the vendor table
select vend_address from VENDOR;
2.Add a colum to the MARPART table titled ‘relationship’
ALTER TABLE marpart
ADD mar_relationship VARCHAR(20);
3.The team project is taking longer than expected. Add a new row into the manager history
database. Manager number 7,
INSERT INTO History
VALUES (‘7’,’12’,’December 15, 2014’);
52. Liz’s Queries
1.Add two columns to the EMPLOYEES
table. One column, named EmpDate,
contains the
date of employment for each employee,
and its default value should be the
system
date. The second column, named
EndDate, contains employees’ date of
Termination.
ALTER TABLE employees
ADD empdate DATE DEFAULT
SYSDATE
53. 2. Display a list of all the data
contained in EmpDependent
table.
Liz’s Queries
54. 3. Display a list of all the data contained in projlocations table.
SELECT *
FROM projlocations
Liz’s Queries
55. 1. Standards can be enforced
The DBMS has central control over the database, the DBA can ensure
that all applications follow certain standards, such as data formats,
document standards, etc.
1. Lower Costs
The DBMS system is expensive, but the maintenance cost after
purchase is very low. It can be maintained by a few programmers, and
it is not expensive for the enterprise
1. Less Data Loss
Due to the many security constraints on the database, the chance of
data loss is minimized.
56. 1. Lower Efficiency
The DBMS is a multi-purpose software that can be used for many
purposes, so the efficiency is reduced.
1. More Vulnerabilities
The DBMS has a centralized function, it has many functions,
but the centralization also increases the vulnerability. The
entire system shuts down due to the failure of a single
component. For organizations that are completely
dependent on the database, this is a very critical
shortcoming of the DBMS
1. Costly Data Conversion
The conversion cost is greater than the sum of the DBMS hardware
and machine costs. Trained staff is needed to convert data to the
new system. This is the main reason why most organizations are still
using the old DBMS due to the high cost of data conversion.
57. Communication skills are vital to DBAs who
work in teams with computer programmers and
managers. These experts are used in
a wide range of settings in the public and private
sectors, and some DBAs work as specialists to
corporations.
The Bureau of Labor Statistics projects 9.7 percent
employment growth for database administrators between
2019 and 2029. In that period, an estimated 12,800 jobs
should open up.
58. In conclusion, we learned that teamwork is a
valuable part of developing successful processes,
projects, and procedures to drive the organization
forward. Without good teamwork, the organization
will fall into trouble. People feel underappreciated
and frustrated. However, there are many benefits
when teamwork is put first.