This document provides an introduction to SQL server functions, grouping, and joins. It discusses aggregate functions that return single values from columns like average, sum, min, and count. It also discusses scalar functions that return a single value for each row like upper, lower, and round. The document explains how to use the GROUP BY clause to group result sets and then run aggregate functions on the groups. It also covers the HAVING clause, which filters grouped data. Finally, it describes different types of joins like inner joins, left outer joins, and right outer joins.
This document provides an overview of SQL functions and grouping data in SQL. It discusses aggregate functions that return a single calculated value from a column, and scalar functions that return a single value for each row. Examples of aggregate functions like SUM, AVING, and MIN are provided. Scalar functions like UCASE and LCASE are also demonstrated. The document explains how the GROUP BY clause allows grouping result sets and running aggregate queries on the groups. It then covers the HAVING clause, which filters grouped data. Finally, it discusses different types of joins in SQL like inner joins, left outer joins, and right outer joins along with examples.
The document discusses data manipulation language (DML) statements in SQL. It describes how to insert rows into a table using INSERT, update rows using UPDATE, and delete rows from a table using DELETE. It also covers transaction control using COMMIT to save changes permanently and ROLLBACK to undo pending changes back to a savepoint.
The document discusses various SQL statements that can be used in PL/SQL programs including SELECT, INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to retrieve, manipulate, and manage data in Oracle databases. The SELECT statement is used to query data, INSERT adds new rows, UPDATE modifies rows, DELETE removes rows, and MERGE can insert or update rows in a single statement. Joins and cursors are also introduced.
The document describes several SQL experiments conducted to create and populate tables, apply constraints, modify schemas, and perform queries. Key points:
1) Tables were created for departments and employees, with data inserted. Describe commands showed the schemas.
2) More tables were created, drop and delete commands were used, and select queries with and without where clauses were run.
3) Schemas were altered by adding columns and modifying data types. Update commands modified existing data.
4) Primary keys, foreign keys, unique constraints and other constraints were applied to newly created tables in various experiments.
5) Select queries used aggregate functions, arithmetic operators, sorting, and nested queries. Joins were performed
This document discusses data manipulation language (DML) statements used to insert, update, and delete rows in database tables. It describes the INSERT statement syntax for adding new rows, the UPDATE statement for modifying existing rows, and the DELETE statement for removing rows. It also covers transactions, which group related DML statements, and the COMMIT and ROLLBACK statements used to make changes permanent or discard them.
This document discusses data manipulation language (DML) statements used to insert, update, and delete rows in database tables. It describes the INSERT statement syntax for adding new rows, the UPDATE statement for modifying existing rows, and the DELETE statement for removing rows. It also covers transactions, using the COMMIT statement to make changes permanent and the ROLLBACK statement to undo pending changes. Key points covered include controlling consistency with transactions, implicit and explicit transaction processing, and read consistency.
This document discusses SQL functions and operators. It provides examples of numeric, date, string and text functions. Numeric functions include ABS, CEIL, FLOOR, TRUNC, ROUND and more. Date functions include SYSDATE, ADD_MONTHS, MONTHS_BETWEEN. String functions include UPPER, LOWER, LENGTH, SUBSTR. Operators covered are arithmetic (+,-, etc.), comparison (=, <, etc.), and logical (OR, AND, NOT). Examples are given of how to use each function and operator in SQL queries and updates.
This document provides an introduction to SQL server functions, grouping, and joins. It discusses aggregate functions that return single values from columns like average, sum, min, and count. It also discusses scalar functions that return a single value for each row like upper, lower, and round. The document explains how to use the GROUP BY clause to group result sets and then run aggregate functions on the groups. It also covers the HAVING clause, which filters grouped data. Finally, it describes different types of joins like inner joins, left outer joins, and right outer joins.
This document provides an overview of SQL functions and grouping data in SQL. It discusses aggregate functions that return a single calculated value from a column, and scalar functions that return a single value for each row. Examples of aggregate functions like SUM, AVING, and MIN are provided. Scalar functions like UCASE and LCASE are also demonstrated. The document explains how the GROUP BY clause allows grouping result sets and running aggregate queries on the groups. It then covers the HAVING clause, which filters grouped data. Finally, it discusses different types of joins in SQL like inner joins, left outer joins, and right outer joins along with examples.
The document discusses data manipulation language (DML) statements in SQL. It describes how to insert rows into a table using INSERT, update rows using UPDATE, and delete rows from a table using DELETE. It also covers transaction control using COMMIT to save changes permanently and ROLLBACK to undo pending changes back to a savepoint.
The document discusses various SQL statements that can be used in PL/SQL programs including SELECT, INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to retrieve, manipulate, and manage data in Oracle databases. The SELECT statement is used to query data, INSERT adds new rows, UPDATE modifies rows, DELETE removes rows, and MERGE can insert or update rows in a single statement. Joins and cursors are also introduced.
The document describes several SQL experiments conducted to create and populate tables, apply constraints, modify schemas, and perform queries. Key points:
1) Tables were created for departments and employees, with data inserted. Describe commands showed the schemas.
2) More tables were created, drop and delete commands were used, and select queries with and without where clauses were run.
3) Schemas were altered by adding columns and modifying data types. Update commands modified existing data.
4) Primary keys, foreign keys, unique constraints and other constraints were applied to newly created tables in various experiments.
5) Select queries used aggregate functions, arithmetic operators, sorting, and nested queries. Joins were performed
This document discusses data manipulation language (DML) statements used to insert, update, and delete rows in database tables. It describes the INSERT statement syntax for adding new rows, the UPDATE statement for modifying existing rows, and the DELETE statement for removing rows. It also covers transactions, which group related DML statements, and the COMMIT and ROLLBACK statements used to make changes permanent or discard them.
This document discusses data manipulation language (DML) statements used to insert, update, and delete rows in database tables. It describes the INSERT statement syntax for adding new rows, the UPDATE statement for modifying existing rows, and the DELETE statement for removing rows. It also covers transactions, using the COMMIT statement to make changes permanent and the ROLLBACK statement to undo pending changes. Key points covered include controlling consistency with transactions, implicit and explicit transaction processing, and read consistency.
This document discusses SQL functions and operators. It provides examples of numeric, date, string and text functions. Numeric functions include ABS, CEIL, FLOOR, TRUNC, ROUND and more. Date functions include SYSDATE, ADD_MONTHS, MONTHS_BETWEEN. String functions include UPPER, LOWER, LENGTH, SUBSTR. Operators covered are arithmetic (+,-, etc.), comparison (=, <, etc.), and logical (OR, AND, NOT). Examples are given of how to use each function and operator in SQL queries and updates.
The document summarizes common SQL commands used to manage and query databases. It describes commands to create and modify database structure (DDL), insert, update and delete data (DML), grant and revoke user permissions (DCL), control transactions (TCL), and retrieve data (DQL). Key commands covered include CREATE TABLE, DROP TABLE, INSERT, SELECT, UPDATE, DELETE, COMMIT, and GRANT.
The document discusses how to manipulate data using data manipulation language (DML) statements to insert, update, delete, and copy rows in database tables, as well as how transactions are used to group related DML statements and ensure data consistency through committing or rolling back changes. Key DML statements covered are INSERT, UPDATE, DELETE, as well as COMMIT and ROLLBACK statements to permanently save or discard pending changes to the database. The document also explains how read consistency is maintained in the database to allow concurrent read and write operations without conflicting data views.
Single-row functions can manipulate data items, accept arguments and return one value, and act on each row returned. There are various types of single-row functions including character, number, date, and conversion functions. Character functions manipulate character strings, number functions perform calculations, and date functions modify date formats. Functions allow data to be formatted, calculated, and converted as needed for different queries and outputs.
This document provides an overview of various SQL operators and functions in MySQL including UNION, UNION ALL, MINUS, INTERSECT, single-row functions, multi-row functions, GROUP BY, HAVING, and JOINs. It explains the syntax and usage of each operator, how they combine result sets, and how to simulate the MINUS and INTERSECT operators since MySQL does not natively support them. Examples are given demonstrating how each operator works using sample tables and queries.
This document discusses SQL set operators such as UNION, UNION ALL, INTERSECT, and MINUS. It provides examples of how to use each operator to combine result sets from multiple queries, eliminate duplicates, return common or unique rows, and control the order of rows in the final output. Tables used in the examples include the EMPLOYEES and JOB_HISTORY tables, which contain data on current and previous employee jobs. Guidelines are provided around matching columns in UNION queries and using parentheses and ORDER BY.
The document provides an overview of basic SQL statements and capabilities. It discusses using SELECT statements to project columns, select rows, and join tables. It also covers arithmetic expressions, column aliases, concatenation, and eliminating duplicate rows. SQL statements are executed through the SQL*Plus environment, which allows editing, saving, and running SQL code and commands.
Operators in C# allow programmers to perform mathematical, logical, and bitwise manipulations on operands. There are several categories of operators including arithmetic, relational, logical, bitwise, and assignment. Arithmetic operators perform math operations like addition and subtraction. Relational operators compare values. Logical operators combine or negate conditions. Bitwise operators perform bit-level operations on integers and booleans. Assignment operators assign values to variables.
Operator overloading allows operators like + and << to be used with user-defined types by defining corresponding member functions. For example, the + operator can be overloaded to add two Distance objects by defining the member function operator+. This makes code more readable compared to explicit function calls. Overloading unary operators like ++ requires defining operator++(), while overloading binary operators like + requires defining both operator+() and operator+=(). The return type and arguments of overloaded operators must match the conventional operator.
This document discusses operators and expressions in C++. It begins by defining operators as symbols that represent operations and operands as the objects involved in those operations. It then covers various types of operators in C++ like arithmetic, relational, logical, and conditional operators. It provides examples of using each operator and notes order of precedence. The document also discusses expressions, noting they are combinations of operators, constants, and variables. It provides examples of integer, real, relational, and logical expressions. Finally, it discusses mathematical functions available in the C++ standard library header file math.h that can be used in arithmetic expressions.
This document provides an overview of C++ data types, variables, and operators. It describes the fundamental data types in C++ including int, float, char, and boolean. It discusses how to declare variables, their scope, and initialization. The document also covers various operators in C++ like arithmetic, relational, logical, bitwise, and assignment operators. It provides examples of using these operators and their functionality. Finally, it briefly introduces arrays in C++ including declaration and initialization.
The document provides an introduction to SQL and covers various SQL statements and operators including:
1. SQL statements like SELECT, INSERT, UPDATE, and DELETE are used to retrieve, modify and manipulate data in databases.
2. Operators like WHERE, BETWEEN, IN, LIKE and NULL are used to filter rows and compare values in conditions.
3. Functions and clauses such as SELECT, FROM, DISTINCT, GROUP BY, JOIN, ORDER BY, etc. are used to customize data retrieval and presentation.
This document provides an overview of SQL (Structured Query Language) concepts including:
- What a database is and common SQL statements like SELECT, INSERT, UPDATE, DELETE
- Database schema examples and how to create tables
- Data types, constraints, and altering tables
- How to insert, update, delete and select data from tables
- Joins between multiple tables
- Aggregate functions and grouping data
- Date functions and formatting
The document covers fundamental SQL topics through examples and explanations to introduce the basics of querying and managing data in a relational database using SQL.
Introduction to SQL_02 lecture with English language and Persian Translation. This lecture is for absolutely beginners. This is the ninth lecture in database one.
The document provides an overview of SQL concepts for retrieving and manipulating data using SQL statements like SELECT, JOIN, GROUP BY, and subqueries. It discusses the key clauses and operations for projection, selection, aggregation, sorting, joining tables, grouping data, and using subqueries. Some important points covered include using SELECT to retrieve specific attributes or calculate column values, filtering rows with WHERE, sorting with ORDER BY, aggregation functions, inner/outer/cross joins, and applying grouping and aggregation at different levels with ROLLUP and CUBE.
MSCD650 Final Exam feedback FormMSCD650 Final Exam Grading For.docxgilpinleeanna
MSCD650 Final Exam feedback Form
MSCD650 Final Exam Grading Form
(Instructions follow the form)
Coding
55 Percent
Points Earned
Comments:
Trigger Code:
· Code meets requirements
· Code compiles cleanly
/15
Pre-Calculation Procedure Code
· Code meets requirements
· Code compiles cleanly
/15
PL/SQL Block Code
· Code meets requirements
· Code compiles cleanly
/15
Function Code
· Code meets requirements
· Code compiles cleanly
/10
/55
Unit Testing
35 Percent
Points Earned
Comments:
Unit Test for Trigger Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
/10
Unit Test for Procedure Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
· The tester can easily follow the path of the execution.
/10
.
Unit Test for PL/SQL Block Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
· The tester can easily follow the path of the execution.
/10
Unit Test for View/Function Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
· The tester can easily follow the path of the execution.
/5
/35
Documentation
10 Percent
Points Earned
Comments:
Presentation:
· The document is easy to read.
· The document is Professional in appearance
· It is easy for the reader to find what they are looking for.
/5
Documentation:
· Code is documented so that anyone who picks it up knows what it is doing.
/5
/10
Total 100
Percent
Points Earned
Comments:
Case Study
Overview of assignment
As a new ABC Consultant assigned to the XYZ Company, you have been asked to enhance the current system to include payroll processing. Although the current employee table has monthly salary and commission columns, it does not provide any means for storing employee deductions. You will add the tables necessary to store employee deductions. Next you will create a payroll pre-calculation program that will calculate the net pay for all the employees via a batch process (a stored procedure in a package, which will call other stored procedures within the package). Although this is not a complete payroll system, the unit test results must be accurate.
Next you will create two PL/SQL blocks for inserting and deleting rows from the employee deduction table. These PL/SQL blocks will be passed information from host or bind variables and a third PL/SQL block which will assign the variables defined in SQL*Plus (e.g. employee number, dollar amount and deduction name). Since the XYZ Company wants to track changes to the employee and employee deduction tables, you will create two database triggers that will update audit tables when rows are changed or deleted.
The XYZ Company also requires a view that will display specific employee information, plus the number of deductions for an employe ...
This document discusses various types of joins in SQL including equi joins, outer joins, cartesian joins, and self joins. It also covers set operators like UNION, INTERSECT, and MINUS that combine results from multiple queries. Subqueries are discussed as an alternative way to retrieve data from multiple tables using a query nested within another query.
This document discusses various types of joins in SQL including equi joins, outer joins, cartesian joins, and self joins. It also covers set operators like UNION, INTERSECT, and MINUS that combine the results of queries. Subqueries are discussed as a way to return data from multiple tables using a query within another query.
This document describes various single-row functions in SQL that can manipulate or modify data. It discusses character, number, date, and conversion functions and provides examples of how to use functions like TO_CHAR, TO_NUMBER, ROUND, TRUNC, and DECODE in SELECT statements. Common uses of functions include performing calculations, formatting output, converting data types, and conditional processing of data. Nesting functions allows multiple operations to be applied sequentially.
This document provides an overview of basic SQL statements and SQL*Plus commands. It covers the capabilities of SELECT statements, including selecting all columns, specific columns, column aliases, arithmetic expressions, and literal strings. It also discusses null values, the concatenation operator, and eliminating duplicate rows with DISTINCT. Finally, it differentiates between SQL statements and SQL*Plus commands, describing how to log in to SQL*Plus, display table structure, edit SQL, and execute files of SQL statements.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
The document summarizes common SQL commands used to manage and query databases. It describes commands to create and modify database structure (DDL), insert, update and delete data (DML), grant and revoke user permissions (DCL), control transactions (TCL), and retrieve data (DQL). Key commands covered include CREATE TABLE, DROP TABLE, INSERT, SELECT, UPDATE, DELETE, COMMIT, and GRANT.
The document discusses how to manipulate data using data manipulation language (DML) statements to insert, update, delete, and copy rows in database tables, as well as how transactions are used to group related DML statements and ensure data consistency through committing or rolling back changes. Key DML statements covered are INSERT, UPDATE, DELETE, as well as COMMIT and ROLLBACK statements to permanently save or discard pending changes to the database. The document also explains how read consistency is maintained in the database to allow concurrent read and write operations without conflicting data views.
Single-row functions can manipulate data items, accept arguments and return one value, and act on each row returned. There are various types of single-row functions including character, number, date, and conversion functions. Character functions manipulate character strings, number functions perform calculations, and date functions modify date formats. Functions allow data to be formatted, calculated, and converted as needed for different queries and outputs.
This document provides an overview of various SQL operators and functions in MySQL including UNION, UNION ALL, MINUS, INTERSECT, single-row functions, multi-row functions, GROUP BY, HAVING, and JOINs. It explains the syntax and usage of each operator, how they combine result sets, and how to simulate the MINUS and INTERSECT operators since MySQL does not natively support them. Examples are given demonstrating how each operator works using sample tables and queries.
This document discusses SQL set operators such as UNION, UNION ALL, INTERSECT, and MINUS. It provides examples of how to use each operator to combine result sets from multiple queries, eliminate duplicates, return common or unique rows, and control the order of rows in the final output. Tables used in the examples include the EMPLOYEES and JOB_HISTORY tables, which contain data on current and previous employee jobs. Guidelines are provided around matching columns in UNION queries and using parentheses and ORDER BY.
The document provides an overview of basic SQL statements and capabilities. It discusses using SELECT statements to project columns, select rows, and join tables. It also covers arithmetic expressions, column aliases, concatenation, and eliminating duplicate rows. SQL statements are executed through the SQL*Plus environment, which allows editing, saving, and running SQL code and commands.
Operators in C# allow programmers to perform mathematical, logical, and bitwise manipulations on operands. There are several categories of operators including arithmetic, relational, logical, bitwise, and assignment. Arithmetic operators perform math operations like addition and subtraction. Relational operators compare values. Logical operators combine or negate conditions. Bitwise operators perform bit-level operations on integers and booleans. Assignment operators assign values to variables.
Operator overloading allows operators like + and << to be used with user-defined types by defining corresponding member functions. For example, the + operator can be overloaded to add two Distance objects by defining the member function operator+. This makes code more readable compared to explicit function calls. Overloading unary operators like ++ requires defining operator++(), while overloading binary operators like + requires defining both operator+() and operator+=(). The return type and arguments of overloaded operators must match the conventional operator.
This document discusses operators and expressions in C++. It begins by defining operators as symbols that represent operations and operands as the objects involved in those operations. It then covers various types of operators in C++ like arithmetic, relational, logical, and conditional operators. It provides examples of using each operator and notes order of precedence. The document also discusses expressions, noting they are combinations of operators, constants, and variables. It provides examples of integer, real, relational, and logical expressions. Finally, it discusses mathematical functions available in the C++ standard library header file math.h that can be used in arithmetic expressions.
This document provides an overview of C++ data types, variables, and operators. It describes the fundamental data types in C++ including int, float, char, and boolean. It discusses how to declare variables, their scope, and initialization. The document also covers various operators in C++ like arithmetic, relational, logical, bitwise, and assignment operators. It provides examples of using these operators and their functionality. Finally, it briefly introduces arrays in C++ including declaration and initialization.
The document provides an introduction to SQL and covers various SQL statements and operators including:
1. SQL statements like SELECT, INSERT, UPDATE, and DELETE are used to retrieve, modify and manipulate data in databases.
2. Operators like WHERE, BETWEEN, IN, LIKE and NULL are used to filter rows and compare values in conditions.
3. Functions and clauses such as SELECT, FROM, DISTINCT, GROUP BY, JOIN, ORDER BY, etc. are used to customize data retrieval and presentation.
This document provides an overview of SQL (Structured Query Language) concepts including:
- What a database is and common SQL statements like SELECT, INSERT, UPDATE, DELETE
- Database schema examples and how to create tables
- Data types, constraints, and altering tables
- How to insert, update, delete and select data from tables
- Joins between multiple tables
- Aggregate functions and grouping data
- Date functions and formatting
The document covers fundamental SQL topics through examples and explanations to introduce the basics of querying and managing data in a relational database using SQL.
Introduction to SQL_02 lecture with English language and Persian Translation. This lecture is for absolutely beginners. This is the ninth lecture in database one.
The document provides an overview of SQL concepts for retrieving and manipulating data using SQL statements like SELECT, JOIN, GROUP BY, and subqueries. It discusses the key clauses and operations for projection, selection, aggregation, sorting, joining tables, grouping data, and using subqueries. Some important points covered include using SELECT to retrieve specific attributes or calculate column values, filtering rows with WHERE, sorting with ORDER BY, aggregation functions, inner/outer/cross joins, and applying grouping and aggregation at different levels with ROLLUP and CUBE.
MSCD650 Final Exam feedback FormMSCD650 Final Exam Grading For.docxgilpinleeanna
MSCD650 Final Exam feedback Form
MSCD650 Final Exam Grading Form
(Instructions follow the form)
Coding
55 Percent
Points Earned
Comments:
Trigger Code:
· Code meets requirements
· Code compiles cleanly
/15
Pre-Calculation Procedure Code
· Code meets requirements
· Code compiles cleanly
/15
PL/SQL Block Code
· Code meets requirements
· Code compiles cleanly
/15
Function Code
· Code meets requirements
· Code compiles cleanly
/10
/55
Unit Testing
35 Percent
Points Earned
Comments:
Unit Test for Trigger Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
/10
Unit Test for Procedure Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
· The tester can easily follow the path of the execution.
/10
.
Unit Test for PL/SQL Block Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
· The tester can easily follow the path of the execution.
/10
Unit Test for View/Function Code:
· All conditions are thoroughly tested
· The code runs successfully
· All data to prove test worked is displayed
· The tester can easily follow the path of the execution.
/5
/35
Documentation
10 Percent
Points Earned
Comments:
Presentation:
· The document is easy to read.
· The document is Professional in appearance
· It is easy for the reader to find what they are looking for.
/5
Documentation:
· Code is documented so that anyone who picks it up knows what it is doing.
/5
/10
Total 100
Percent
Points Earned
Comments:
Case Study
Overview of assignment
As a new ABC Consultant assigned to the XYZ Company, you have been asked to enhance the current system to include payroll processing. Although the current employee table has monthly salary and commission columns, it does not provide any means for storing employee deductions. You will add the tables necessary to store employee deductions. Next you will create a payroll pre-calculation program that will calculate the net pay for all the employees via a batch process (a stored procedure in a package, which will call other stored procedures within the package). Although this is not a complete payroll system, the unit test results must be accurate.
Next you will create two PL/SQL blocks for inserting and deleting rows from the employee deduction table. These PL/SQL blocks will be passed information from host or bind variables and a third PL/SQL block which will assign the variables defined in SQL*Plus (e.g. employee number, dollar amount and deduction name). Since the XYZ Company wants to track changes to the employee and employee deduction tables, you will create two database triggers that will update audit tables when rows are changed or deleted.
The XYZ Company also requires a view that will display specific employee information, plus the number of deductions for an employe ...
This document discusses various types of joins in SQL including equi joins, outer joins, cartesian joins, and self joins. It also covers set operators like UNION, INTERSECT, and MINUS that combine results from multiple queries. Subqueries are discussed as an alternative way to retrieve data from multiple tables using a query nested within another query.
This document discusses various types of joins in SQL including equi joins, outer joins, cartesian joins, and self joins. It also covers set operators like UNION, INTERSECT, and MINUS that combine the results of queries. Subqueries are discussed as a way to return data from multiple tables using a query within another query.
This document describes various single-row functions in SQL that can manipulate or modify data. It discusses character, number, date, and conversion functions and provides examples of how to use functions like TO_CHAR, TO_NUMBER, ROUND, TRUNC, and DECODE in SELECT statements. Common uses of functions include performing calculations, formatting output, converting data types, and conditional processing of data. Nesting functions allows multiple operations to be applied sequentially.
This document provides an overview of basic SQL statements and SQL*Plus commands. It covers the capabilities of SELECT statements, including selecting all columns, specific columns, column aliases, arithmetic expressions, and literal strings. It also discusses null values, the concatenation operator, and eliminating duplicate rows with DISTINCT. Finally, it differentiates between SQL statements and SQL*Plus commands, describing how to log in to SQL*Plus, display table structure, edit SQL, and execute files of SQL statements.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
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3. SQL Addition Operator (+)
• The SQL Addition Operator performs the addition on the numerical
columns in the table.
• If you want to add the values of two numerical columns in the table, then
you have to specify both columns as the first and second operand. You can
also add the new integer value in the value of the integer column.
• SELECT Column_Name_1 Addition_Operator Column_Name2 FROM Table_
Name;
• SELECT Column_Name_1 Addition_Operator Column_Name2 FROM Table_
Name WHERE Condition;
4. mployee_Id Emp_Name Emp_City Emp_Salary Emp_bonus
101 Anuj Ghaziabad 25000 2000
102 Tushar Lucknow 29000 1000
103 Vivek Kolkata 35000 2500
104 Shivam Goa 22000 3000
SELECT Emp_Salary + Emp_Bonus AS Emp_Total_Salary FROM Employee;
SELECT Emp_Salary + 15000 AS Emp_Updated_Salary FROM Employee;
SELECT Emp_Salary + Emp_Bonus AS Emp_Total_Salary FROM Employee
WHERE Emp_Salary > 25000;
5. Employee_Id Emp_Name Emp_City Emp_Salary Emp_Panelty
101 Anuj Ghaziabad 25000 500
102 Tushar Lucknow 29000 1000
103 Vivek Kolkata 35000 700
104 Shivam Goa 22000 500
SELECT Emp_Salary - Emp_Panelty AS Emp_Total_Salary FROM Employee;
SELECT Emp_Panelty - Emp_Salary AS Emp_Total_Salary FROM Employee WHERE Employee_ID = 104;
SELECT Emp_Salary - 10000 AS Emp_Updated_Salary FROM Employee;
6. Car_Number Car_Name Car_Amount Car_Price
2578 Creta 3 1500000
9258 Audi 2 3000000
8233 Venue 6 900000
6214 Nexon 7 1000000
SELECT Car_Amount * Car_Price AS Car_Total_Price FROM Cars;
SELECT Car_Amount * Car_Price AS Car_Total_Price FROM Cars WHERE Car_Price >= 1000000;
SELECT Car_Price / Car_Amount AS One_Car_Price FROM Cars;