This document provides an introduction to SQL (Structured Query Language) for working with relational databases. It covers basic SQL commands for creating tables, inserting data, updating data, retrieving data through queries, and deleting data. Examples are provided to demonstrate how to perform operations like selecting specific columns, sorting results, joining tables, and modifying data in a sample database of companies and employees. The overall purpose is to teach the fundamental data manipulation capabilities of SQL.
This document provides instructions for connecting an SQLite database to an Android application using Android Studio. It describes creating a database using SQLite Manager and placing it in the Android project's assets folder. It then explains creating a Connection class with paths to the database folder and file. The document outlines creating a DataDB class to connect to the Connection class and calling getNameDB in the MainActivity to retrieve the database name. It provides code snippets for the Connection and DataDB classes.
This document provides an overview of sessions, cookies, MySQL databases, and PHP. It defines cookies as small files stored on a user's computer to identify them across website requests. Sessions are an alternative to cookies for storing user information across multiple pages without storing data locally. The document outlines how to create cookies and sessions in PHP. It also defines MySQL databases and how to create tables, queries, and connect to a database using PHP.
SQL is a language used to store, manipulate, and retrieve data in relational database management systems. The core SQL commands are CREATE, SELECT, INSERT, UPDATE, and DELETE. CREATE is used to create new tables and objects. SELECT retrieves data from tables. INSERT adds new rows of data. UPDATE modifies existing data. DELETE removes rows of data. SQL allows users and applications to access data, define data structures, and manage data.
ITCamp 2013 - Cristian Lefter - Transact-SQL from 0 to SQL Server 2012ITCamp
This document contains summaries of new features in various versions of Microsoft SQL Server from 2000 to 2012. It begins with a brief history of SQL and an overview of basic database concepts. Each major version is then discussed in its own section, with new syntax, functions, and capabilities highlighted at a high level. The document concludes with a recommendation to learn more about SQL Server memory-optimized tables and attending additional training.
Sql vs no sql and azure data factory glasgow data UGDiponkar Paul
NoSQL databases have grown in popularity in recent years due to the flexibility of data modeling and scaling up capabilities. NoSQL databases also have been used in the big data landscape. The demo rich session will elaborate the difference between SQL and NoSQL. And data moving capabilities from NoSQL database MongoDB to Azure Data Lake by using Azure data factory.
This document provides a tutorial on exploiting MySQL injection vulnerabilities to extract information from a database. It begins by introducing SQL injection and MySQL. It then walks through testing for vulnerabilities, exploiting a sample site to get the MySQL version, user, databases, tables, and columns. The document demonstrates how to use these techniques to retrieve usernames and passwords stored in the database. The goal is to illustrate how an attacker can access sensitive information by chaining together SQL injection commands.
SQLite is available on every Android device. Using an SQLite database in Android does not require any database setup or administration. You only have to define the SQL statements for creating and updating the database. Afterwards the database is automatically managed for you by the Android platform. In this chapter we will discuss about developing application with SQLite.
Database such as MySQL and SQL server are an integral part of business, hospital, banks and universities. Immensely, Every person who have of access computer or technology eventually work on to store data.
This document provides instructions for connecting an SQLite database to an Android application using Android Studio. It describes creating a database using SQLite Manager and placing it in the Android project's assets folder. It then explains creating a Connection class with paths to the database folder and file. The document outlines creating a DataDB class to connect to the Connection class and calling getNameDB in the MainActivity to retrieve the database name. It provides code snippets for the Connection and DataDB classes.
This document provides an overview of sessions, cookies, MySQL databases, and PHP. It defines cookies as small files stored on a user's computer to identify them across website requests. Sessions are an alternative to cookies for storing user information across multiple pages without storing data locally. The document outlines how to create cookies and sessions in PHP. It also defines MySQL databases and how to create tables, queries, and connect to a database using PHP.
SQL is a language used to store, manipulate, and retrieve data in relational database management systems. The core SQL commands are CREATE, SELECT, INSERT, UPDATE, and DELETE. CREATE is used to create new tables and objects. SELECT retrieves data from tables. INSERT adds new rows of data. UPDATE modifies existing data. DELETE removes rows of data. SQL allows users and applications to access data, define data structures, and manage data.
ITCamp 2013 - Cristian Lefter - Transact-SQL from 0 to SQL Server 2012ITCamp
This document contains summaries of new features in various versions of Microsoft SQL Server from 2000 to 2012. It begins with a brief history of SQL and an overview of basic database concepts. Each major version is then discussed in its own section, with new syntax, functions, and capabilities highlighted at a high level. The document concludes with a recommendation to learn more about SQL Server memory-optimized tables and attending additional training.
Sql vs no sql and azure data factory glasgow data UGDiponkar Paul
NoSQL databases have grown in popularity in recent years due to the flexibility of data modeling and scaling up capabilities. NoSQL databases also have been used in the big data landscape. The demo rich session will elaborate the difference between SQL and NoSQL. And data moving capabilities from NoSQL database MongoDB to Azure Data Lake by using Azure data factory.
This document provides a tutorial on exploiting MySQL injection vulnerabilities to extract information from a database. It begins by introducing SQL injection and MySQL. It then walks through testing for vulnerabilities, exploiting a sample site to get the MySQL version, user, databases, tables, and columns. The document demonstrates how to use these techniques to retrieve usernames and passwords stored in the database. The goal is to illustrate how an attacker can access sensitive information by chaining together SQL injection commands.
SQLite is available on every Android device. Using an SQLite database in Android does not require any database setup or administration. You only have to define the SQL statements for creating and updating the database. Afterwards the database is automatically managed for you by the Android platform. In this chapter we will discuss about developing application with SQLite.
Database such as MySQL and SQL server are an integral part of business, hospital, banks and universities. Immensely, Every person who have of access computer or technology eventually work on to store data.
SQL is a language used to manage data in relational database management systems. It allows users to define, manipulate, and control access to data. Some key points about SQL:
- SQL is used to query, insert, update, and manipulate data stored in tables. It represents data as rows and columns.
- It works with many programming languages and applications. Data can be retrieved using SELECT statements and inserted using INSERT statements.
- SQL databases store data in tables which can then be related to each other using operations like joins. This relational model allows flexible data retrieval and reporting.
SQL injection is a common web application security vulnerability that allows attackers to control an application's database by tricking the application into sending unexpected SQL commands to the database. It works by submitting malicious SQL code as input, which gets executed by the database since the application concatenates user input directly into SQL queries. The key to preventing SQL injection is using prepared statements with bound parameters instead of building SQL queries through string concatenation. This separates the SQL statement from any user-supplied input that could contain malicious code.
https://www.learntek.org/blog/mysql-python/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
https://www.learntek.org/blog/mysql-python/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
The document discusses using databases to store information persistently. It begins by explaining that variables in a program disappear after execution, so some data needs to be stored externally. Initially, simply writing to a file is proposed, but there are issues with this approach like handling concurrent access and updates. The document then introduces database management systems (DBMS) like MySQL that can address these problems. It provides basic examples of using SQL commands to CREATE, INSERT, SELECT, UPDATE and DELETE data from databases. Primary keys are also introduced as a way to uniquely identify table rows.
The document discusses using databases to store information persistently. It begins by explaining that variables in a program disappear after execution, so some data needs to be stored externally. Initially, simply writing to a file is proposed, but there are issues with this approach like handling concurrent access and updates.
The document then introduces database management systems (DBMS) like MySQL that can handle these complexities. It provides SQL commands to create and manage databases and tables within MySQL, including inserting, selecting, updating, and deleting data in tables. Primary keys are discussed as a way to uniquely identify table rows. Overall the document serves as an introduction to using a DBMS like MySQL to persistently store and manage data through the use of databases
This document provides an overview of SQL (Structured Query Language). It discusses that SQL is used to define, manipulate, and control data in a relational database. It can define database schemas, insert, modify, retrieve, and delete data from databases. The document also provides a brief history of SQL and describes its main components like DDL, DML, and DCL. It provides examples of common SQL commands and functions. Finally, it discusses SQL Plus which is a basic Oracle utility used to interact with databases through a command line interface.
The document discusses querying data with Hibernate. It describes the steps involved which include creating the query, binding parameters, and executing it. It provides examples of using named parameters and positional parameters. It also covers iterating through results, scrolling result sets, defining named queries, and basic query clauses for selection and restriction.
1) SQL is a language used to manage data in relational database management systems. It allows users to define, manipulate, and control access to data.
2) SQL statements like SELECT, INSERT, UPDATE, DELETE allow users to retrieve, add, modify and remove data from database tables.
3) SQL also includes statements for defining the structure of a database through data definition language commands like CREATE DATABASE, CREATE TABLE.
The document provides an overview of querying and managing data using SQL Server 2005. It discusses identifying system databases, creating user-defined databases and tables, and implementing data integrity through constraints. The objectives are to learn how to manage databases and tables. Key points include the various system databases, using CREATE DATABASE and CREATE TABLE statements, and enforcing referential integrity with foreign key constraints.
SQL is a standard language for managing relational databases and querying data. Key features of SQL include retrieving, inserting, updating, and deleting data. The document provides examples of common SQL statements like SELECT, WHERE, ORDER BY, INSERT, UPDATE, and DELETE and how they can be used to work with data in database tables. It also explains concepts like SQL data manipulation language (DML) and data definition language (DDL) as well as SQL data types, operators, and syntax.
This document provides an overview of various data interfaces in R, including CSV, Excel, database, XML, JSON, and web data. It discusses how to read and write files in each format using functions like read.csv(), read.xlsx(), dbConnect(), xmlParse(), fromJSON(), and getHTMLLinks(). It also provides an example of extracting data from Facebook using the Rfacebook package.
The document discusses how to implement an ExpandableListView in Android. An ExpandableListView allows displaying data in a two-level nested list, with groups that can expand to show child items. The example uses three classes - MainActivity displays the ExpandableListView, ExpandableListData provides the list data in a hash map, and ExpandableListAdapter links the data to the views. Key methods include getGroupView() and getChildView() to populate the views, and interface methods to handle clicks on groups and children.
This document discusses SQL fundamentals including what is data, databases, database management systems, and relational databases. It defines key concepts like tables, rows, columns, and relationships. It describes different types of DBMS like hierarchical, network, relational, and object oriented. The document also covers SQL commands like SELECT, INSERT, UPDATE, DELETE, constraints, functions and more. It provides examples of SQL queries and functions.
Tutorial - Learn SQL with Live Online DatabaseDBrow Adm
The document provides an overview of SQL queries that can be practiced on a sample eCommerce database using an online tool. It covers basic queries including selecting columns, filtering rows, sorting results, joining tables, aggregate functions and more advanced topics such as subqueries, outer joins and regular expressions. Each example is accompanied by a link to test the query directly and view the output. The goal is to help users test and solidify their understanding of SQL.
The document describes the steps to connect to an Excel spreadsheet using JDBC and ODBC in Java:
1. Create an Excel spreadsheet with data and save it. Configure an ODBC data source to connect to the Excel file.
2. Write a Java program that uses JDBC to connect to the Excel data source, execute a query to retrieve data from the spreadsheet, and print the results.
3. The prepareConnection method loads the JDBC-ODBC driver, specifies the ODBC data source URL, and establishes the database connection.
4. The main method uses the connection to execute a query on the Excel spreadsheet and print the results.
This document provides an introduction to SQL and relational database concepts. It explains that SQL is used to manipulate and retrieve data from relational databases. It also outlines the main SQL commands: DDL for data definition, DML for data manipulation, DCL for data control, and DQL for data queries. Key relational database concepts like tables, records, columns, and relationships are defined. Constraints, data types and integrity are discussed. Examples are provided for SQL statements like CREATE, INSERT, UPDATE, DELETE, and SELECT.
The document provides an overview of SQL commands and operations including:
1) Creating a database and table, inserting and selecting data, updating records with WHERE clauses.
2) Altering tables by adding or modifying columns and constraints.
3) Different SQL statements like SELECT, INSERT, UPDATE and DELETE and clauses like WHERE are discussed along with syntax and examples.
This document discusses using Python to interact with SQLite databases. It provides examples of how to connect to an SQLite database, create tables, insert/update/delete records, and query the database. Key points covered include using the sqlite3 module to connect to a database, getting a cursor object to execute SQL statements, and various cursor methods like execute(), executemany(), fetchone(), fetchall(), commit(), and close(). Example code is given for common SQLite operations like creating a table, inserting records, updating records, deleting records, and selecting records.
SQL is a language used to manage data in relational database management systems. It allows users to define, manipulate, and control access to data. Some key points about SQL:
- SQL is used to query, insert, update, and manipulate data stored in tables. It represents data as rows and columns.
- It works with many programming languages and applications. Data can be retrieved using SELECT statements and inserted using INSERT statements.
- SQL databases store data in tables which can then be related to each other using operations like joins. This relational model allows flexible data retrieval and reporting.
SQL injection is a common web application security vulnerability that allows attackers to control an application's database by tricking the application into sending unexpected SQL commands to the database. It works by submitting malicious SQL code as input, which gets executed by the database since the application concatenates user input directly into SQL queries. The key to preventing SQL injection is using prepared statements with bound parameters instead of building SQL queries through string concatenation. This separates the SQL statement from any user-supplied input that could contain malicious code.
https://www.learntek.org/blog/mysql-python/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
https://www.learntek.org/blog/mysql-python/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
The document discusses using databases to store information persistently. It begins by explaining that variables in a program disappear after execution, so some data needs to be stored externally. Initially, simply writing to a file is proposed, but there are issues with this approach like handling concurrent access and updates. The document then introduces database management systems (DBMS) like MySQL that can address these problems. It provides basic examples of using SQL commands to CREATE, INSERT, SELECT, UPDATE and DELETE data from databases. Primary keys are also introduced as a way to uniquely identify table rows.
The document discusses using databases to store information persistently. It begins by explaining that variables in a program disappear after execution, so some data needs to be stored externally. Initially, simply writing to a file is proposed, but there are issues with this approach like handling concurrent access and updates.
The document then introduces database management systems (DBMS) like MySQL that can handle these complexities. It provides SQL commands to create and manage databases and tables within MySQL, including inserting, selecting, updating, and deleting data in tables. Primary keys are discussed as a way to uniquely identify table rows. Overall the document serves as an introduction to using a DBMS like MySQL to persistently store and manage data through the use of databases
This document provides an overview of SQL (Structured Query Language). It discusses that SQL is used to define, manipulate, and control data in a relational database. It can define database schemas, insert, modify, retrieve, and delete data from databases. The document also provides a brief history of SQL and describes its main components like DDL, DML, and DCL. It provides examples of common SQL commands and functions. Finally, it discusses SQL Plus which is a basic Oracle utility used to interact with databases through a command line interface.
The document discusses querying data with Hibernate. It describes the steps involved which include creating the query, binding parameters, and executing it. It provides examples of using named parameters and positional parameters. It also covers iterating through results, scrolling result sets, defining named queries, and basic query clauses for selection and restriction.
1) SQL is a language used to manage data in relational database management systems. It allows users to define, manipulate, and control access to data.
2) SQL statements like SELECT, INSERT, UPDATE, DELETE allow users to retrieve, add, modify and remove data from database tables.
3) SQL also includes statements for defining the structure of a database through data definition language commands like CREATE DATABASE, CREATE TABLE.
The document provides an overview of querying and managing data using SQL Server 2005. It discusses identifying system databases, creating user-defined databases and tables, and implementing data integrity through constraints. The objectives are to learn how to manage databases and tables. Key points include the various system databases, using CREATE DATABASE and CREATE TABLE statements, and enforcing referential integrity with foreign key constraints.
SQL is a standard language for managing relational databases and querying data. Key features of SQL include retrieving, inserting, updating, and deleting data. The document provides examples of common SQL statements like SELECT, WHERE, ORDER BY, INSERT, UPDATE, and DELETE and how they can be used to work with data in database tables. It also explains concepts like SQL data manipulation language (DML) and data definition language (DDL) as well as SQL data types, operators, and syntax.
This document provides an overview of various data interfaces in R, including CSV, Excel, database, XML, JSON, and web data. It discusses how to read and write files in each format using functions like read.csv(), read.xlsx(), dbConnect(), xmlParse(), fromJSON(), and getHTMLLinks(). It also provides an example of extracting data from Facebook using the Rfacebook package.
The document discusses how to implement an ExpandableListView in Android. An ExpandableListView allows displaying data in a two-level nested list, with groups that can expand to show child items. The example uses three classes - MainActivity displays the ExpandableListView, ExpandableListData provides the list data in a hash map, and ExpandableListAdapter links the data to the views. Key methods include getGroupView() and getChildView() to populate the views, and interface methods to handle clicks on groups and children.
This document discusses SQL fundamentals including what is data, databases, database management systems, and relational databases. It defines key concepts like tables, rows, columns, and relationships. It describes different types of DBMS like hierarchical, network, relational, and object oriented. The document also covers SQL commands like SELECT, INSERT, UPDATE, DELETE, constraints, functions and more. It provides examples of SQL queries and functions.
Tutorial - Learn SQL with Live Online DatabaseDBrow Adm
The document provides an overview of SQL queries that can be practiced on a sample eCommerce database using an online tool. It covers basic queries including selecting columns, filtering rows, sorting results, joining tables, aggregate functions and more advanced topics such as subqueries, outer joins and regular expressions. Each example is accompanied by a link to test the query directly and view the output. The goal is to help users test and solidify their understanding of SQL.
The document describes the steps to connect to an Excel spreadsheet using JDBC and ODBC in Java:
1. Create an Excel spreadsheet with data and save it. Configure an ODBC data source to connect to the Excel file.
2. Write a Java program that uses JDBC to connect to the Excel data source, execute a query to retrieve data from the spreadsheet, and print the results.
3. The prepareConnection method loads the JDBC-ODBC driver, specifies the ODBC data source URL, and establishes the database connection.
4. The main method uses the connection to execute a query on the Excel spreadsheet and print the results.
This document provides an introduction to SQL and relational database concepts. It explains that SQL is used to manipulate and retrieve data from relational databases. It also outlines the main SQL commands: DDL for data definition, DML for data manipulation, DCL for data control, and DQL for data queries. Key relational database concepts like tables, records, columns, and relationships are defined. Constraints, data types and integrity are discussed. Examples are provided for SQL statements like CREATE, INSERT, UPDATE, DELETE, and SELECT.
The document provides an overview of SQL commands and operations including:
1) Creating a database and table, inserting and selecting data, updating records with WHERE clauses.
2) Altering tables by adding or modifying columns and constraints.
3) Different SQL statements like SELECT, INSERT, UPDATE and DELETE and clauses like WHERE are discussed along with syntax and examples.
This document discusses using Python to interact with SQLite databases. It provides examples of how to connect to an SQLite database, create tables, insert/update/delete records, and query the database. Key points covered include using the sqlite3 module to connect to a database, getting a cursor object to execute SQL statements, and various cursor methods like execute(), executemany(), fetchone(), fetchall(), commit(), and close(). Example code is given for common SQLite operations like creating a table, inserting records, updating records, deleting records, and selecting records.
The document provides instructions on how to create tables, insert data, and write queries for a database with tables for students, library memberships, books, and book issue records. It includes examples of creating the tables with primary and foreign keys, inserting sample data, and queries to list student names and issued books, count books issued per student, and create views of issue records and daily issues.
This document provides an outline of a SQL Lab tutorial covering MySQL. It introduces SQL and connecting to MySQL. It then covers various MySQL commands including administration commands, data definition language commands to create/drop databases and tables, data manipulation language commands to insert, retrieve, update and delete records, and more advanced queries using concepts like joins, aggregation, and pattern matching. SQL is introduced as a standard language for accessing and manipulating database systems and working with different database programs.
Session 8 connect your universal application with database .. builders & deve...Moatasim Magdy
This document provides an overview of using SQLite database with C# and Universal Windows Platform (UWP) applications. It discusses why to use a database, the basic SQL queries like CREATE, SELECT, INSERT, UPDATE, DELETE. It then demonstrates how to connect a UWP app to a SQLite database, create and open the database, define and add records to tables, query and update records. The steps include adding SQLite references, installing SQLite packages, checking for database existence, creating and opening connections, executing queries to select, insert, update and delete records from tables.
How Clean is your database? Data scrubbing for all skills setsChad Petrovay
This document provides tips and best practices for cleaning up and maintaining a clean database. It discusses identifying dirty data through data mapping and assessment. Techniques presented for scrubbing data include using standards to prevent errors, spell check, function keys, security groups and search/replace functions. SQL scripts are demonstrated for updating object names, migrating text entries and monitoring changes through audit trails and usage reports. The importance of ongoing monitoring and creating a culture that values data quality is emphasized.
The document summarizes advanced SQL concepts including data types, schemas, integrity constraints, authorization, embedded SQL, dynamic SQL, and ODBC/JDBC APIs. It describes SQL built-in data types including date, time, timestamp, interval, and large object types. It also discusses user-defined types, domains, and constraints. Integrity constraints on single relations and referential integrity are explained. The document also covers authorization in SQL, embedded and dynamic SQL, and interfaces for connecting applications to databases.
This document contains sample questions from an Oracle Database SQL Expert exam. It includes 21 multiple choice questions about SQL concepts like joins, aggregation, regular expressions, and data dictionary views. The questions are testing knowledge of SQL syntax, functions, and techniques like hierarchical queries, inline views, and subqueries.
The document contains a sample exam with 14 multiple choice questions about SQL Server. The questions cover topics like creating tables, inserting and returning identity values, writing transactions, joins, indexes, recursive queries and identity columns. For each question, 4 possible answers are provided and only one answer is marked as correct.
This document discusses SQL injection attacks and how to mitigate them. It begins by explaining how injection attacks work by tricking applications into executing unintended commands. It then provides examples of how SQL injection can be used to conduct unauthorized access and data modification attacks. The document discusses techniques for finding and exploiting SQL injection vulnerabilities, including through the SELECT, INSERT, UPDATE and UNION commands. It also covers ways to mitigate injection attacks, such as using prepared statements with bound parameters instead of concatenating strings.
This document provides an overview of SQL basics, including the main SQL statements used to interact with relational databases. It defines SQL as the standard language for relational database management systems and covers key concepts like tables and queries. The main SQL statements are described as the INSERT statement used to add new records to a table, the SELECT statement to query and retrieve data from tables, the UPDATE statement to modify records in a table, and the DELETE statement to remove rows from a table. In conclusion, SQL basics provide a foundational understanding of interacting with relational databases through essential commands.
SQL for Web APIs - Simplifying Data Access for API ConsumersJerod Johnson
This document discusses using SQL to access web APIs. It provides examples of popular APIs that support SQL functionality, like Google BigQuery, Salesforce, and Couchbase. The benefits of using SQL for API access are described, including ease of integration, leveraging existing tools, and handling related data. Integration challenges from inconsistent SQL support across APIs are also noted. The document introduces using standard database drivers to provide uniform SQL access to APIs. A case study describes how Bouqet.ai uses this approach to map natural language queries to SQL for accessing SaaS data.
The document provides an introduction to databases and SQL. It defines what a database is as a collection of related data containing information relevant to an enterprise. It then discusses the properties of databases, what a database management system (DBMS) is, the typical functionality of a DBMS including defining, constructing, manipulating databases, and providing security. It also summarizes the components of a database system including fields, records, queries, and reports. The document then introduces SQL and its uses for data manipulation, definition, and administration. It provides examples of SQL statements for creating tables, inserting, querying, updating, and deleting data.
Technical marketers are in high demand and low supply. Being able to dive into data on your own, with no help from engineering, makes you a much better marketer.
This is why SQL is so powerful - it allows you to see any data you want about anything your customers do. Knowing how to use SQL is literally a marketing superpower.
In this SQL tutorial specifically for marketers, I've pulled together SQL query basics that any marketer or data analyst will need to dig into their customer analytics. This course is the best resource for marketers, growth hackers and product managers who want to get more technical and learn SQL. It's what I wish existed when I was going through tutorial after tutorial, sifting through lots of information that didn't apply to me and trying to learn on my own.
SQL is simple enough that - just by learning a few concepts I cover above - you'll be able to use it for any kind of data analysis, cohort analysis or campaign breakdown.
Want more information? Check out resources on my blog - http://justinmares.com/sql
The document describes a database application to implement the Apriori algorithm for association rule mining. It discusses the Apriori algorithm and its steps. The program takes transaction data and configuration parameters as input files, runs the Apriori algorithm to find frequent itemsets, and outputs the results. The program execution time is also reported.
This document provides an overview of an introductory training session on SQLite, a popular database for Internet of Things (IoT) applications. The agenda covers installing and configuring SQLite, basic commands like .tables and .schema, accessing databases using ATTACH and DETACH, data types, operators, and SQL statements like SELECT, INSERT, UPDATE, and DELETE. The session teaches the basics of using SQLite through examples of commands, queries, and making changes to databases.
This document discusses SQL injection techniques, including basics, advanced methods, and blind SQL injection. It begins with an overview of SQL injection and how websites interact with databases. It then demonstrates basic SQL injection to bypass authentication. Advanced techniques covered include finding database/table/column details and extracting data. Blind SQL injection is discussed for when errors are not displayed, requiring binary searching of ASCII character codes to extract information character by character.
This document discusses Structured Query Language (SQL) and its role in relational database management systems. It covers:
1) SQL allows for standardized database access, reducing training costs and increasing application portability.
2) SQL commands include data definition language (DDL) to define schemas, data manipulation language (DML) to query and modify data, and data control language (DCL) to manage privileges.
3) The SELECT statement is used to query tables, allowing the use of functions, expressions, wildcards, and clauses like WHERE, GROUP BY, HAVING, and ORDER BY.
This document provides an overview of Structured Query Language (SQL) including its core components: Data Definition Language (DDL) for defining database schemas, Data Manipulation Language (DML) for querying and modifying data, and Data Control Language (DCL) for managing permissions and transactions. It describes SQL statements for creating tables, defining constraints, and querying data using SELECT statements. Examples are provided to illustrate concepts like joins, aliases, and pattern matching. Data types, NULL handling, and nested queries are also summarized.
This document provides an overview of health informatics. It defines key terms like information management, information systems, and informatics. It describes the basic theoretical concept underlying informatics practice and defines biomedical and health informatics as fields of study. It outlines the learning objectives which include describing informatics areas of application, summarizing drivers and trends, and identifying professional roles and skills of health informaticians in processing data into information and knowledge to improve patient care. It then discusses the skills, tools, and domains of health informaticians and their roles in academic, research, and health care delivery environments.
Evolution of and Trends in Health Care - Lecture DCMDLearning
The document describes Lecture d of a course on the evolution of and trends in health care in the U.S. It discusses the patient-centered medical home model of care coordination, including characteristics like having a personal physician, team-based care, and quality/safety measures. It also introduces Accountable Care Organizations as a new model of care coordination promoted by the Affordable Care Act. Finally, it provides references for Lecture d.
Evolution of and Trends in Health Care - Lecture CCMDLearning
This lecture defined healthcare quality and gave examples of quality indicators such as process measures and outcome measures. It described approaches to quality improvement like the "Plan, Do, Study, Act" (PDSA) cycle. Comparative Effectiveness Research (CER) was introduced as a way to compare benefits and harms of alternative healthcare methods using evidence from studies. CER aims to help patients and physicians choose between treatment options.
Evolution of and Trends in Health Care - Lecture BCMDLearning
This lecture defines clinical practice guidelines and describes their purpose in helping clinicians and patients make appropriate healthcare decisions. It discusses the U.S. Preventive Services Task Force (USPSTF), an independent panel that issues evidence-based recommendations on clinical preventive services using a grading system (A to I) based on certainty of net benefit. The lecture also briefly introduces the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework for assessing evidence quality in clinical guidelines.
Evolution of and Trends in Health Care - Lecture ACMDLearning
This document discusses key concepts in evidence-based medicine and trends in the U.S. healthcare system. It defines evidence-based medicine as using the best available evidence from research to inform patient care decisions. Clinical practice guidelines and clinical decision support systems aim to promote evidence-based practices. The hierarchy of evidence ranks study types to determine the strength of evidence. Systematic reviews systematically analyze the literature on a topic.
The document discusses topics covered in Lecture c of Public Health, Part 2. It describes the importance of chronic diseases as leading causes of mortality in the US. Behavior modification is discussed as the main public health focus for prevention through education. The World Health Organization's STEPwise Framework for chronic disease prevention and policy is also presented. Environmental public health topics are reviewed, including overlap with chronic and communicable diseases. Air and water quality, hazardous waste management, and topics like smoking and urban planning are discussed.
This document discusses terrorism and public health in three parts. It begins by introducing four main categories of terrorism: bioterrorism, agricultural terrorism, chemical terrorism, and nuclear/radiation terrorism. It then discusses bioterrorism in more detail, including a history of bioterrorism incidents in the US and the CDC's categorization of bioterrorism agents. It concludes by describing the Laboratory Response Network and providing an overview of the public health response and challenges for the other categories of terrorism.
This document discusses communicable diseases and public health activities related to communicable disease prevention and control. It provides examples of communicable disease categories and historic public health triumphs in eradicating smallpox and bringing polio under control. The document also outlines public health investigations of disease outbreaks and monitoring/surveillance efforts at the federal, state, and local levels to control communicable diseases.
The document provides an overview of key concepts from Lecture c of Public Health, Part 1. It discusses the radical improvements public health has made to population health, including examples of successes in communicable disease control. It also reviews some historical highlights of public health in the US, noting how life expectancy has increased 30 years since 1900 due largely to public health initiatives. Major causes of death in 2014 are listed, with all but one being chronic or injury-related.
This document provides an overview of key concepts in public health from Lecture b, including:
- Defining important public health terminology like endemic, epidemic, morbidity, and mortality.
- Illustrating the general organization of public health agencies in the United States at the local, state, and federal levels.
- Explaining several roles of public health like education, policy, monitoring and surveillance, and regulating reportable diseases.
The document provides an overview of public health in the United States through a series of lectures. It begins with distinguishing between private health, which focuses on treating individuals, and public health, which aims to maintain population health through education, policy, and other measures. Next, it reviews the history of public health in the US from the 1700s to present, highlighting milestones like the establishment of the CDC and responses to health crises. The document concludes with learning objectives and references for further information.
The document discusses regulating health care in the United States. It covers several topics: the role of clinical documentation in health records to support patient safety, quality of care, and as a legal record; the importance of compliance programs to ensure adherence to laws and regulations regarding issues like fraud, abuse, and privacy; and the functions of organizations that oversee healthcare quality and standards like accreditation bodies. Thorough and complete clinical documentation is necessary to protect healthcare providers from legal risks while also supporting patient care, reimbursement, and organizational operations.
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Lecture a discusses how health care in the US is regulated through accreditation, regulatory bodies, and professional associations. The Joint Commission is a major nonprofit accrediting body that establishes standards and accredits hospitals and other organizations through reviews and core measure reporting. Other accrediting organizations include URAC and the National Committee for Quality Assurance. Regulatory agencies like the Food and Drug Administration enforce standards to protect consumers. Professional associations represent various health professions and promote quality through certification, education, and advocacy.
This lecture discusses how the US legal system regulates health care. It describes the three branches of government - legislative, executive, and judicial - and how the court system is divided into trial courts that hear evidence and appellate courts that review cases. The lecture outlines the main sources of law and different types of laws, such as civil/private laws that govern relationships between people/organizations and public laws that govern relationships between people and the government. It provides examples of how civil cases involve private parties and criminal cases involve the government and a defendant.
The document discusses factors contributing to rising health care expenditures in the United States. It identifies increased demand from chronic disease and an aging population, new medical technologies, high pharmaceutical costs, and administrative inefficiencies compared to other countries as key drivers. While the uninsured account for some costs, evidence shows their emergency department utilization has not increased and is not a primary cause of overcrowding. Overall rising medical costs are challenging to curb due to demand for new, often expensive treatments and an inability to control utilization.
This document discusses reimbursement methodologies used by insurers to pay healthcare providers. It describes fee-for-service reimbursement, where separate payments are made for each service provided, and episode-of-care reimbursement, where one sum is paid for all services during an illness. Specific fee-for-service methods covered include traditional retrospective reimbursement using fee schedules, self-pay, and prospective payment models like capitation, per diem, case rates, and diagnosis-related groups. The document also reviews the revenue cycle of submitting claims and receiving reimbursement.
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This document discusses methods for controlling rising health care costs in the United States. It explores how increased use of health information technology, evidence-based medicine, and new models of primary care such as the patient-centered medical home can improve efficiency and reduce expenditures. Alternative delivery methods like urgent care clinics and greater use of nurse practitioners and physician assistants may also lower costs. While concierge medicine provides enhanced services, there is no data showing it contains overall spending. Tort reform aims to curb defensive medicine practices that drive up healthcare costs.
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Databases and SQL - Lecture C
1. Introduction to Computer Science
Databases and SQL
Lecture c
This material (Comp 4 Unit 5) was developed by Oregon Health & Science University, funded by the Department
of Health and Human Services, Office of the National Coordinator for Health Information Technology under
Award Number 90WT0001.
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.
2. Databases and SQL
Learning Objectives - 1
• Define and describe the purpose of
databases (Lecture a)
• Define a relational database (Lecture a)
• Describe data modeling and normalization
(Lecture b)
• Describe the structured query language
(SQL) (Lecture c)
2
3. Databases and SQL
Learning Objectives - 2
• Define the basic data operations for
relational databases and how to
implement them in SQL (Lecture c)
• Design a simple relational database and
create corresponding SQL commands
(Lecture c)
• Examine the structure of a health care
database component (Lecture d)
3
4. SQL
• Used to manage and access database
information
• ANSI, ISO, and IEC standard
– DBMS have custom extensions!
• Extensive language
– We will look at a few basic commands
4
5. Example
• Make a space for the tables by creating
the database
– create database <name>
sql> create database contacts
• To remove
– drop database <name>
sql> drop database contacts
5
6. Create the Tables
• Create table <name> (<column
information>);
• Column information consists of column
names and data types
• Tables also have extra information
• To remove:
– drop table <name>
6
7. SQL Basic Data Types
Data Type Description
integer or int Whole numbers
float Floating point number
date Date
time Time
char (length) Fixed number of characters
varchar (length) Variable number of characters
Table 1. Basic data types and their descriptions in SQL.
7
8. Create Company Table
sql> create table company (id
integer auto_increment,
-> name varchar(50),
-> address varchar(50),
-> city varchar(50),
-> state char(2),
-> primary key(id));
8
12. Same Basic Operations
• Add an entry
• Retrieve an entry
• Delete an entry
• Modify an entry
12
13. Add an Entry
• Insert into <table> (columns) values
(values);
• First add company entries:
sql> insert into company (name, address, city, state)
-> values ('Community Hospital, Inc.', '1312 Main',
'Portland', 'OR');
sql> insert into company (name, address, city, state)
-> values ('Oakland Providers LLC', '14 12th St.',
'Oakland', 'CA');
13
14. Add Persons
• Now add people and companies
associated with them:
sql> insert into person (first_name, last_name, company_id)
-> values (‘Sriveni’, ‘Sharma’, 1);
sql> insert into person (first_name, last_name, company_id)
-> values (‘Walter’, ‘Chen’, 2);
sql> insert into person (first_name, last_name, company_id)
-> values (‘Rachel’, ‘Cohen’', 2);
sql> insert into person (first_name, last_name, company_id)
-> values (‘Karthik’, ‘Subramanian’, 1);
sql> insert into person (first_name, last_name, company_id)
-> values (‘Kelly’, ‘David’, 2);
14
15. Retrieve an Entry
• Select <columns> from <table>;
• Get company information:
15
16. Add Sorting
• Get people, sorted by last name:
sql> select * from person order by last_name;
16
17. Add Selectivity
• Get names of people who work for
Community Hospital:
sql> select first_name, last_name from where company_id = 1;
17
18. Retrieve from Multiple Tables
• Select <columns> from <table 1> join
<table 2> on <table 1 foreign key> =
<table 2 primary key>;
sql> select * from person join company on person.company_id = companyid;
18
19. Create a Complex SQL Statement
sql> select first_name, last_name, company.name from
person join company on person.company_id =
company.id order by last_name;
19
20. Delete an Entry
• Delete from <table> where <constraints>;
• Remove Rachel from contact list:
sql> delete from person where
first_name=‘Rachel’ and
last_name=‘Cohen’;
1 row affected
20
21. Modify an Entry
• update <table> set <column>=<data>
where <constraints>;
21
22. New Company Name - 1
• Our example where “Community Hospital,
Inc.” becomes “Community General”
– Get the id
sql> select * from company;
– Update the row data
sql> update company set name ‘Community
General’ where id=1;
22
23. New Company Name - 2
• Just for us, verify the change
sql> select * from company;
23
24. Verify Again
sql> select first_name, last_name, company.name from
person join company on person.company_id –
company.id order by last_name;
24
25. Databases and SQL
Summary – Lecture c
• SQL is a language for creating, accessing
and updating databases
– Create tables
– Insert data
– Update data
– Retrieve (select) data
– Delete data
25
26. Databases and SQL
References – Lecture c
References
Chen, P. P. (1976). The Entity-Relationship Model - Toward a Unified View of Data. ACM
Transactions on Database Systems, 1(1).
International Organization for Standardization. (2008). Information technology –
Database languages – SQL (No. ISO/IEC 9075-(1-4,9-11,13,14)).
Kent, W. (1983). A simple guide to five normal forms in relational database theory.
Communications of the ACM, 26(2).
26
27. Introduction to Computer Science
Databases and SQL
Lecture c
This material was developed by Oregon
Health & Science University, funded by the
Department of Health and Human Services,
Office of the National Coordinator for Health
Information Technology under Award
Number 90WT0001.
27
Editor's Notes
Welcome to Introduction to Computer Science: Databases and SQL. This is lecture c.
The component, Introduction to Computer Science, is a basic overview of computer architecture; data organization, representation and structure; structure of programming languages; networking and data communication. It also includes the basic terminology of computing.
The learning objectives for Databases and SQL are to:
Define and describe the purpose of databases
Define a relational database
Describe data modeling and normalization
Describe the structured query language, or SQL
Define the basic data operations for relational databases and how to implement them in SQL
Design a simple relational database and create corresponding SQL commands
Examine the structure of a health care database component
This lecture will demonstrate how SQL is used for creating, accessing and updating databases.
Structured Query Language, or SQL, is the language commonly used to manage and access a relational database. This language is a standard established by the American National Standards Institute, or ANSI, International Organization for Standardization, or ISO, and International Electrotechnical Commission, or IEC. Nevertheless, each database management system, or DBMS, may interpret the standard differently or offer proprietary extensions to the language; there is no guarantee that one set of SQL commands will work exactly the same way on another vendor’s system. Portability is difficult from one DBMS to another; however, most common commands will operate in the same fashion.
While the following examples show the use of a command line interface to access the database directly through SQL commands, this is certainly not the only way to access a database. Databases can also be accessed through graphical user interfaces as well programs that issue SQL commands through defined system interfaces.
The following slides will explore some basic SQL commands.
To create a contacts database of individuals, their companies, and the addresses associated with those companies, use the SQL command “create database,” with the database name specified at the end of the command line.
It is always helpful to use a meaningful name, so for this example, the database will be called “contacts.” In order to delete a database, the command, “drop database”, with the database name specified, is used.
After the database is defined, the data tables can be created. This can be achieved with an SQL command where the table name and information about the columns contained in the database table are specified. The column information contains the name of the column as well as the type of information contained inside the specific column. Additional information about the table may also be specified. SQL has an extensive set of options available; in the following slides several examples of how to use the create command to create the tables will be explored.
Just as with the database itself, a table may need to be deleted when it no longer serves its purpose. To do this, use the “drop table” command with appropriate options.
This tables shows basic data types used in SQL.
While SQL is a standard language, the data types, formats, and range limit of values may be vendor-specific; however, the data types shown in the table are the most common in various SQL versions. An integer data type is used to store whole numbers with no decimal points. To store a number with a decimal point, the data type needs to be identified it as a float type. If it is important to record information about when an event occurred, then both date and time data types will be indicated. Finally, there are two formats for storing textual information – char and varchar.
A char is used to store strings of a known length, such as a zip code. A varchar data type is used to store text strings where the actual length is variable, such as a person’s name.
This slide shows the steps to create a table for company information. It is important to remember that the company name, address, and city are of variable length, while the state will be stored as a fixed two-character abbreviation. The row will need to be uniquely identified; “id” will be used as an identifier. Finally, each column must have a meaningful name, preferably one that has an easily understandable meaning to anyone accessing the database, such as “name”.
Notice that there are a few more options used in the command on this slide - the “id” column is identified as having an integer type, as well as an “auto_increment” option which instructs the system to keep track of the value, incrementing it every time a new row is added.
The name, address, and city are represented as variable text strings of up to 50 characters; however, a larger value may need to be specified if names or addresses longer than 50 characters are to be stored. It was determined that the two-letter abbreviations would be used for the state names, as indicated by the “char” field value of 2. And finally, the primary, or unique, key for the company table is the “id” column.
This table shows the structure for the person table. The person’s first name and last name are stored separately to enable sorting by last name only, and each person’s name is associated with a company. As in the company table, "id" is used for the primary key in this table.
After names have been determined for the columns, the “create table” command is used to create the table as shown. This table is very similar to the “create company table” on the previous screen with the addition of the foreign key, company_ id, which ties the person to the appropriate company.
The addition of “references company (id)” to this command tells the database that the “company id” column in the person table is tied to the “primary key (id)” column in the company database, ensuring that the company id values are consistent between the company and person tables. Also note that it is not necessary to use the same name for the foreign key in both tables; in this example, it is named "company_id" in the person table, and "id" in the company table.
After the tables are created, then the “show tables” command can be used at the command line interface to confirm that the company and person tables have been correctly structured in the contacts database.
To verify the correct columns and data types are in the tables, a “show columns from” command is issued for each table.
Along with displaying additional detailed information, this will confirm that the individual tables have the expected names and data types, and that the primary and foreign keys, which are abbreviated in this table as PRI and MUL, have been correctly identified.
There are four basic operations in an information system - adding, retrieving, deleting, and modifying information. SQL statements can be used to change the contents of database information, providing more ease and organization in the maintenance of large amounts of data.
The first operation, add, is accomplished with the “insert” command in SQL. The table where information is to be inserted and the specific values for the row must be identified. This slide shows the steps to add company entries. The value for each entry in the values field lines up with the equivalent entry in the column field. For example, “city” is specified as the third column in the first insert statement and “Portland” is being used in the third column in the values field. It is imperative that the order of the values matches the order of the columns to prevent inserting wrong values into the columns.
Note that a value is not specified for the id column; this was set to be auto increment when the table was created, so the system automatically enters the value.
Also notice that the text strings are surrounded by single quotation marks – this is how the SQL command line interpreter recognizes the beginning and end of text.
Now that the companies are entered into the database, the individuals associated with the companies can be added. For each entry, the first and last names need to be specified, again using single quotes around the text strings, and the company key. Note that this is now much simpler as only the company key associated with the person needs to be entered, rather than all of the company information. The next slide will describe how the values of 1 and 2 for the company ids are obtained.
Retrieval, or selecting specific information to view, is another basic operation. In this slide, the SQL statement “select * from company” retrieves all data for every column in the table. The asterisk instructs the system to show all information. Notice that each company is numbered in the id column – this happens automatically when the “auto_increment” option is utilized as illustrated in an earlier slide.
When using a file system, it can be a challenge to sort contact information by last name. By adding “order by” to the SQL statement, the system will display the information sorted by last name while maintaining the original id and “company_id” values.
A search, however, may not require that all data in a record be returned. Instead of an asterisk to request everything, the names of the desired columns can be indicated in the SQL statement. This slide shows retrieval of only the first and last names of the table records.
To retrieve only the first and last names of the people who are associated with a specific company – company id 1, for example - a “where company_id = 1” clause is added to the statement. Since “id 1” in this table is “Community Hospital”, the resulting table will show that Sriveni Sharma and Karthik Subramanian are associated with that organization.
Previous slides have demonstrated how to retrieve information from just one table; this slide shows how to retrieve information from both tables at once. This requires a more complex SQL statement that joins the tables and specifies how the tables are related. When the two tables were created, primary keys were identified for both tables and the company id column in the person table connected to the id column in the company table. The SQL command, “select asterisk from person join company on person dot company underscore id equals company id semicolon”, connects the two tables and provides complete information on all of the contacts and the companies.
This slide demonstrates an SQL statement that combines several actions - retrieving a person’s name, retrieving the name of their associated company, and sorting by last name. The SQL statement shown here selects the columns to display, indicates that information is to be collected from multiple tables, and specifies the sort order.
SQL provides a large amount of flexibility in examining the data stored in a database. While this lecture has explored only a few of the options for retrieving data; there are many more SQL retrieval options that provide the user with greater control of how database data are viewed.
The third basic function is deleting data, as shown on this slide. The SQL delete statement identifies the table where data will be deleted and the specific entry that is being deleted. Technically, the “where” constraint is optional, but without it, all information in the table will be deleted. A very specific SQL statement will ensure that only the specified data will be removed.
There are many ways to do this; just “Rachel” could be specified, but in case there are multiple Rachels, it is best to use both the first and last names.
The “id” column could have been specified instead, once Rachel’s id value was retrieved. Because it is the unique key into the table, this would guarantee that the correct row was removed.
The final basic function is modifying data. SQL uses an update statement for this, where the table is identified, the columns with the data that require change are identified, the new data is identified, and the rows that are being modified are identified.
This slide shows a two-step process to modify a company name from “Community Hospital, Inc.” to “Community General.” First, the unique row id will be identified using a select statement that will retrieve information on all the companies in the database. This search shows that Community Hospital, Inc. has a row id of 1, which can now be referenced in the SQL command to change the data for the hospital name.
The update statement specifies company as the table, sets the contents of the name column to “Community General”, and specifies that the modification is to take place in the row with the id for the hospital. Notice again the use of single quotes to identify a text string.
It is also important to know that there is no limit on the number of rows that can be changed in a single update statement. As with the delete statement, it is very important to correctly identify the rows to be changed by using the “where” clause.
After the company name has been changed in the appropriate row in the company table, the change to the row information can be verified by issuing the SQL select statement and looking at the command output to ensure that the name change from “Community Hospital, Inc.” to “Community General” was successful.
A final query, that pulls data from both the person and company tables, as shown on this slide, can also verify that the information has been successfully modified.
This concludes lecture c of Databases and SQL.
In summary, this lecture demonstrated how SQL is used for creating, accessing and updating databases. Using a contacts database as an example, SQL statements were used to create tables, insert data, update data, retrieve or select data, and delete data.