Soumettre la recherche
Mettre en ligne
Sql query [select, sub] 4
•
4 j'aime
•
2,460 vues
Dr. C.V. Suresh Babu
Suivre
Technologie
Signaler
Partager
Signaler
Partager
1 sur 39
Recommandé
Top 40 sql queries for testers
Top 40 sql queries for testers
Top 40 sql queries for testers
tlvd
SQL Query language
80 different SQL Queries with output
80 different SQL Queries with output
Nexus
sql queries
Complex queries in sql
Complex queries in sql
Charan Reddy
SQL DCL DML DDL solution
SQL BASIC QUERIES SOLUTION ~hmftj
SQL BASIC QUERIES SOLUTION ~hmftj
LGS, GBHS&IC, University Of South-Asia, TARA-Technologies
SQL DDL DML DCL
SQL BASIC QUERIES
SQL BASIC QUERIES
LGS, GBHS&IC, University Of South-Asia, TARA-Technologies
Full SQL Queries , and Question Bank for SQL practical exams,
SQL-RDBMS Queries and Question Bank
SQL-RDBMS Queries and Question Bank
Md Mudassir
sql
Sql queries with answers
Sql queries with answers
vijaybusu
Basic Sql Handouts
Basic Sql Handouts
jhe04
Recommandé
Top 40 sql queries for testers
Top 40 sql queries for testers
Top 40 sql queries for testers
tlvd
SQL Query language
80 different SQL Queries with output
80 different SQL Queries with output
Nexus
sql queries
Complex queries in sql
Complex queries in sql
Charan Reddy
SQL DCL DML DDL solution
SQL BASIC QUERIES SOLUTION ~hmftj
SQL BASIC QUERIES SOLUTION ~hmftj
LGS, GBHS&IC, University Of South-Asia, TARA-Technologies
SQL DDL DML DCL
SQL BASIC QUERIES
SQL BASIC QUERIES
LGS, GBHS&IC, University Of South-Asia, TARA-Technologies
Full SQL Queries , and Question Bank for SQL practical exams,
SQL-RDBMS Queries and Question Bank
SQL-RDBMS Queries and Question Bank
Md Mudassir
sql
Sql queries with answers
Sql queries with answers
vijaybusu
Basic Sql Handouts
Basic Sql Handouts
jhe04
Sql queries questions and answers That Are Guideable To Level-III COC EXAM
Sql queries questions and answers
Sql queries questions and answers
Michael Belete
Aggregate functions are functions that take a collection of values as input and return a single value.The ISO standard defines five (5) aggregate functions namely :- 1) COUNT 2) SUM 3) AVG 4) MIN 5) MAX 1.COUNT Function The COUNT function returns the total number of values in the specified field. It works on both numeric and non-numeric data types. All aggregate functions by default exclude nulls values before working on the data. MIN function The MIN function returns the smallest value in the specified table field. 2.MAX function Just as the name suggests, the MAX function is the opposite of the MIN function. It returns the largest value from the specified table field. 3.SUM function Suppose we want a report that gives total amount of payments made so far. We can use the MySQL SUM function which returns the sum of all the values in the specified column. SUM works on numeric fields only. Null values are excluded from the result returned. 4.AVG function MySQL AVG function returns the average of the values in a specified column. Just like the SUM function, it works only on numeric data types. 5.MIN function The MIN function returns the smallest value in the specified table field.
Aggregate function
Aggregate function
Rayhan Chowdhury
This note contains some sample MySQL query practices based on the HR Schema database. The practice sections are from the following categories: - DDL statements - Basic Select statements - Aggregate operations - Join operations
DBMS 5 | MySQL Practice List - HR Schema
DBMS 5 | MySQL Practice List - HR Schema
Mohammad Imam Hossain
Here i am giving some sql queries which is helpful for practicing in sql server for learning more sql interview questions you can refer this link http://skillgun.com/sql/interview-questions-and-answers
Sql queires
Sql queires
MohitKumar1985
HERE ARE THE PROBLEMS SETS PRESENT ON THE SQL QUERY SOLVE USING THE ORACLE DATABASE
All questions
All questions
ABHIJEET KHIRE
Sql task
Sql task
Sql task
Nawaz Sk
Database Management - Lecture 2 - SQL Select, SELECT DISTINCT, WHERE Clause, Operators, AND, OR and NOT, ORDER BY, Insert, Update, Delete
Database Management - Lecture 2 - SQL select, insert, update and delete
Database Management - Lecture 2 - SQL select, insert, update and delete
Al-Mamun Sarkar
sql function
Aggregate functions
Aggregate functions
sinhacp
PL/SQL Interview Questions.
PL/SQL Interview Questions
PL/SQL Interview Questions
Srinimf-Slides
Sql Commands
Sql Commands
Sachin MK
Sql operators & functions 3
Sql operators & functions 3
Dr. C.V. Suresh Babu
SQL QUERIES
SQL Queries
SQL Queries
Nilt1234
Plsql task
Plsql task
Plsql task
Nawaz Sk
About Aggreate Function
Aggregate Function - Database
Aggregate Function - Database
Shahadat153031
MYSQL Aggregate Functions
MYSQL Aggregate Functions
MYSQL Aggregate Functions
Leroy Blair
Introduction of SQL and a brief description of the structures with examples
Introduction to structured query language (sql)
Introduction to structured query language (sql)
Sabana Maharjan
SQL practice questions
SQL practice questions set - 2
SQL practice questions set - 2
Mohd Tousif
lo chako...............
Dump Answers
Dump Answers
sailesh kushwaha
Plsql task answers
Plsql task answers
Nawaz Sk
Mysql
Mysql
TSUBHASHRI
How to write a stored procedure in C#. When to do it and when not to do it
SQL Server - CLR integration
SQL Server - CLR integration
Peter Gfader
Sql tutorial, tutorials sql
Sql tutorial, tutorials sql
Vivek Singh
Contenu connexe
Tendances
Sql queries questions and answers That Are Guideable To Level-III COC EXAM
Sql queries questions and answers
Sql queries questions and answers
Michael Belete
Aggregate functions are functions that take a collection of values as input and return a single value.The ISO standard defines five (5) aggregate functions namely :- 1) COUNT 2) SUM 3) AVG 4) MIN 5) MAX 1.COUNT Function The COUNT function returns the total number of values in the specified field. It works on both numeric and non-numeric data types. All aggregate functions by default exclude nulls values before working on the data. MIN function The MIN function returns the smallest value in the specified table field. 2.MAX function Just as the name suggests, the MAX function is the opposite of the MIN function. It returns the largest value from the specified table field. 3.SUM function Suppose we want a report that gives total amount of payments made so far. We can use the MySQL SUM function which returns the sum of all the values in the specified column. SUM works on numeric fields only. Null values are excluded from the result returned. 4.AVG function MySQL AVG function returns the average of the values in a specified column. Just like the SUM function, it works only on numeric data types. 5.MIN function The MIN function returns the smallest value in the specified table field.
Aggregate function
Aggregate function
Rayhan Chowdhury
This note contains some sample MySQL query practices based on the HR Schema database. The practice sections are from the following categories: - DDL statements - Basic Select statements - Aggregate operations - Join operations
DBMS 5 | MySQL Practice List - HR Schema
DBMS 5 | MySQL Practice List - HR Schema
Mohammad Imam Hossain
Here i am giving some sql queries which is helpful for practicing in sql server for learning more sql interview questions you can refer this link http://skillgun.com/sql/interview-questions-and-answers
Sql queires
Sql queires
MohitKumar1985
HERE ARE THE PROBLEMS SETS PRESENT ON THE SQL QUERY SOLVE USING THE ORACLE DATABASE
All questions
All questions
ABHIJEET KHIRE
Sql task
Sql task
Sql task
Nawaz Sk
Database Management - Lecture 2 - SQL Select, SELECT DISTINCT, WHERE Clause, Operators, AND, OR and NOT, ORDER BY, Insert, Update, Delete
Database Management - Lecture 2 - SQL select, insert, update and delete
Database Management - Lecture 2 - SQL select, insert, update and delete
Al-Mamun Sarkar
sql function
Aggregate functions
Aggregate functions
sinhacp
PL/SQL Interview Questions.
PL/SQL Interview Questions
PL/SQL Interview Questions
Srinimf-Slides
Sql Commands
Sql Commands
Sachin MK
Sql operators & functions 3
Sql operators & functions 3
Dr. C.V. Suresh Babu
SQL QUERIES
SQL Queries
SQL Queries
Nilt1234
Plsql task
Plsql task
Plsql task
Nawaz Sk
About Aggreate Function
Aggregate Function - Database
Aggregate Function - Database
Shahadat153031
MYSQL Aggregate Functions
MYSQL Aggregate Functions
MYSQL Aggregate Functions
Leroy Blair
Introduction of SQL and a brief description of the structures with examples
Introduction to structured query language (sql)
Introduction to structured query language (sql)
Sabana Maharjan
SQL practice questions
SQL practice questions set - 2
SQL practice questions set - 2
Mohd Tousif
lo chako...............
Dump Answers
Dump Answers
sailesh kushwaha
Plsql task answers
Plsql task answers
Nawaz Sk
Mysql
Mysql
TSUBHASHRI
Tendances
(20)
Sql queries questions and answers
Sql queries questions and answers
Aggregate function
Aggregate function
DBMS 5 | MySQL Practice List - HR Schema
DBMS 5 | MySQL Practice List - HR Schema
Sql queires
Sql queires
All questions
All questions
Sql task
Sql task
Database Management - Lecture 2 - SQL select, insert, update and delete
Database Management - Lecture 2 - SQL select, insert, update and delete
Aggregate functions
Aggregate functions
PL/SQL Interview Questions
PL/SQL Interview Questions
Sql Commands
Sql Commands
Sql operators & functions 3
Sql operators & functions 3
SQL Queries
SQL Queries
Plsql task
Plsql task
Aggregate Function - Database
Aggregate Function - Database
MYSQL Aggregate Functions
MYSQL Aggregate Functions
Introduction to structured query language (sql)
Introduction to structured query language (sql)
SQL practice questions set - 2
SQL practice questions set - 2
Dump Answers
Dump Answers
Plsql task answers
Plsql task answers
Mysql
Mysql
En vedette
How to write a stored procedure in C#. When to do it and when not to do it
SQL Server - CLR integration
SQL Server - CLR integration
Peter Gfader
Sql tutorial, tutorials sql
Sql tutorial, tutorials sql
Vivek Singh
People 50 and over spend around $120 billion annually on travel, according to a new Travel Trends Survey by AARP. We travel across the US and the globe, connecting with friends and family and looking for leisure.
Travel research-2015-boomer-travel-trends-infographic-aarp-res-gen
Travel research-2015-boomer-travel-trends-infographic-aarp-res-gen
Next Avenue
SQL
Sql wksht-5
Sql wksht-5
Mukesh Tekwani
by zx25 for student
sql statement
sql statement
zx25 zx25
SQL querys in detail || Sql query slides
SQL querys in detail || Sql query slides
SQL querys in detail || Sql query slides
gourav kottawar
Top 25 cities in the U.S. with the coldest winter temperatures. Grand Forks, Fargo, Duluth, Bismark, and Eau Claire are in our top five.
Top 25 Coldest Cities in America
Top 25 Coldest Cities in America
nichecom
Sql queries interview questions
Sql queries interview questions
Pyadav010186
CSC- 433 Database Management System course content
SQL : introduction
SQL : introduction
Shakila Mahjabin
This ebook offers you some guidance about job opportunities in the new energy sector called "Green Jobs".
The Career Guide to Green Jobs
The Career Guide to Green Jobs
Kelly Services
Basics of Structured Query Language.
SQL Basics
SQL Basics
Hammad Rasheed
This presentation covers the following SQL commands: SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY.
SQL Tutorial - Basic Commands
SQL Tutorial - Basic Commands
1keydata
Sql ppt
Sql ppt
Anuja Lad
Sql Queries
Sql Queries
User1test
This document contains all the sql tutorial and easy to understand with illustrative examples.
A must Sql notes for beginners
A must Sql notes for beginners
Ram Sagar Mourya
PowerPoint of personal arts journey
Slideshare Powerpoint presentation
Slideshare Powerpoint presentation
elliehood
Slideshare ppt
Slideshare ppt
Mandy Suzanne
En vedette
(17)
SQL Server - CLR integration
SQL Server - CLR integration
Sql tutorial, tutorials sql
Sql tutorial, tutorials sql
Travel research-2015-boomer-travel-trends-infographic-aarp-res-gen
Travel research-2015-boomer-travel-trends-infographic-aarp-res-gen
Sql wksht-5
Sql wksht-5
sql statement
sql statement
SQL querys in detail || Sql query slides
SQL querys in detail || Sql query slides
Top 25 Coldest Cities in America
Top 25 Coldest Cities in America
Sql queries interview questions
Sql queries interview questions
SQL : introduction
SQL : introduction
The Career Guide to Green Jobs
The Career Guide to Green Jobs
SQL Basics
SQL Basics
SQL Tutorial - Basic Commands
SQL Tutorial - Basic Commands
Sql ppt
Sql ppt
Sql Queries
Sql Queries
A must Sql notes for beginners
A must Sql notes for beginners
Slideshare Powerpoint presentation
Slideshare Powerpoint presentation
Slideshare ppt
Slideshare ppt
Similaire à Sql query [select, sub] 4
Clauses In Structured Query Language.
Clauses in sql server
Clauses in sql server
Naveen Kumar Veligeti
database,oracle
Group by clause mod
Group by clause mod
Nitesh Singh
Introduction to Oracle Functions--(SQL)--Abhishek Sharma
Introduction to Oracle Functions--(SQL)--Abhishek Sharma
अभिषेक शर्मा
database,oracle
Introduction to oracle functions
Introduction to oracle functions
Nitesh Singh
Sql dml & tcl 2
Sql dml & tcl 2
Dr. C.V. Suresh Babu
Module03
Module03
Sridhar P
MYSQL
Database Query Using SQL_ip.docx
Database Query Using SQL_ip.docx
VandanaGoyal21
Oracle tips and tricks
Oracle tips and tricks
Yanli Liu
ORACLE
Aggregate Functions,Final
Aggregate Functions,Final
mukesh24pandey
Les05 Aggregating Data Using Group Function
Les05 Aggregating Data Using Group Function
NETsolutions Asia: NSA – Thailand, Sripatum University: SPU
MySQl Subject IP class XII
Chapter9 more on database and sql
Chapter9 more on database and sql
KV(AFS) Utarlai, Barmer (Rajasthan)
Les06
Les06
Sudharsan S
SQL is explained in this presentation that what is SQL? What SQL can do? About RDBMS. It explains the commands with their syntax and example
Sql
Sql
Aman Lalpuria
Les18
Les18
Vijay Kumar
Sql order by clause
Sql order by clause
Vivek Singh
5. Group Functions
5. Group Functions
5. Group Functions
Evelyn Oluchukwu
Ppt of SQL class 12
SQL.pptx
SQL.pptx
MrHello6
Covers DML statements of SQL.
Database Systems - SQL - DDL Statements (Chapter 3/3)
Database Systems - SQL - DDL Statements (Chapter 3/3)
Vidyasagar Mundroy
Database course
Structured query language(sql)
Structured query language(sql)
Huda Alameen
DBMS
Unit 3-Select Options and Aggregate Functions in SQL (1).pptx
Unit 3-Select Options and Aggregate Functions in SQL (1).pptx
HAMEEDHUSSAINBU21CSE
Similaire à Sql query [select, sub] 4
(20)
Clauses in sql server
Clauses in sql server
Group by clause mod
Group by clause mod
Introduction to Oracle Functions--(SQL)--Abhishek Sharma
Introduction to Oracle Functions--(SQL)--Abhishek Sharma
Introduction to oracle functions
Introduction to oracle functions
Sql dml & tcl 2
Sql dml & tcl 2
Module03
Module03
Database Query Using SQL_ip.docx
Database Query Using SQL_ip.docx
Oracle tips and tricks
Oracle tips and tricks
Aggregate Functions,Final
Aggregate Functions,Final
Les05 Aggregating Data Using Group Function
Les05 Aggregating Data Using Group Function
Chapter9 more on database and sql
Chapter9 more on database and sql
Les06
Les06
Sql
Sql
Les18
Les18
Sql order by clause
Sql order by clause
5. Group Functions
5. Group Functions
SQL.pptx
SQL.pptx
Database Systems - SQL - DDL Statements (Chapter 3/3)
Database Systems - SQL - DDL Statements (Chapter 3/3)
Structured query language(sql)
Structured query language(sql)
Unit 3-Select Options and Aggregate Functions in SQL (1).pptx
Unit 3-Select Options and Aggregate Functions in SQL (1).pptx
Plus de Dr. C.V. Suresh Babu
This presentation discusses the following topics: Basic features of R Exploring R GUI Data Frames & Lists Handling Data in R Workspace Reading Data Sets & Exporting Data from R Manipulating & Processing Data in R
Data analytics with R
Data analytics with R
Dr. C.V. Suresh Babu
This presentation briefly discusses about Association Rule in Data Analytics
Association rules
Association rules
Dr. C.V. Suresh Babu
This presentation briefly discusses about data clustering in Data Analytics
Clustering
Clustering
Dr. C.V. Suresh Babu
This presentation briefly discusses about Basic concept of Data Classification in Data Analytics
Classification
Classification
Dr. C.V. Suresh Babu
This presentation briefly discusses about Linear Regression:Best Linear Unbiased Estimator(BLUE) property assumptions in Data Analytics
Blue property assumptions.
Blue property assumptions.
Dr. C.V. Suresh Babu
This presentation briefly discusses about Regression in Data Analytics
Introduction to regression
Introduction to regression
Dr. C.V. Suresh Babu
This presentation briefly discusses about DART (Diagnostic Assistance Reference Tool) in Expert Systems
DART
DART
Dr. C.V. Suresh Babu
This presentation briefly discusses about MYCIN in Expert Systems
Mycin
Mycin
Dr. C.V. Suresh Babu
This presentation briefly discusses about Expert System in Artificial Intelligence
Expert systems
Expert systems
Dr. C.V. Suresh Babu
This presentation discusses briefly about Dempster Shafer Theory in Artificial Intelligence
Dempster shafer theory
Dempster shafer theory
Dr. C.V. Suresh Babu
This presentation briefly discusses about Bayes Network in Artificial Intelligence
Bayes network
Bayes network
Dr. C.V. Suresh Babu
This presentation gives a brief introduction about Bayes' Theorem and its applications in Artificial intelligence
Bayes' theorem
Bayes' theorem
Dr. C.V. Suresh Babu
This presentation briefly discuses about Knowledge Based Agents in Artificial Intelligence.
Knowledge based agents
Knowledge based agents
Dr. C.V. Suresh Babu
This presentation briefly explains about Rule Based System in Artificial Intelligence
Rule based system
Rule based system
Dr. C.V. Suresh Babu
This presentation briefly introduces Logic Based System in Artificial Intelligence
Formal Logic in AI
Formal Logic in AI
Dr. C.V. Suresh Babu
This presentation briefly introduce the Production Based System in Artificial Intelligence
Production based system
Production based system
Dr. C.V. Suresh Babu
This presentation briefly explains various techniques of Game Playing in Artificial Intelligence.
Game playing in AI
Game playing in AI
Dr. C.V. Suresh Babu
A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
Diagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AI
Dr. C.V. Suresh Babu
A study on “Impact of Artificial Intelligence in COVID-19 Diagnosis”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
Dr. C.V. Suresh Babu
Although the lungs are one of the most vital organs in the body, they are vulnerable to infection and injury. COVID-19 has put the entire world in an unprecedented difficult situation, bringing life to a halt and claiming thousands of lives all across the world. Medical imaging, such as X-rays and computed tomography (CT), is essential in the global fight against COVID-19, and newly emerging artificial intelligence (AI) technologies are boosting the power of imaging tools and assisting medical specialists. AI can improve job efficiency by precisely identifying infections in X-ray and CT images and allowing further measurement. We focus on the integration of AI with X-ray and CT, both of which are routinely used in frontline hospitals, to reflect the most recent progress in medical imaging and radiology combating COVID-19.
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
Dr. C.V. Suresh Babu
Plus de Dr. C.V. Suresh Babu
(20)
Data analytics with R
Data analytics with R
Association rules
Association rules
Clustering
Clustering
Classification
Classification
Blue property assumptions.
Blue property assumptions.
Introduction to regression
Introduction to regression
DART
DART
Mycin
Mycin
Expert systems
Expert systems
Dempster shafer theory
Dempster shafer theory
Bayes network
Bayes network
Bayes' theorem
Bayes' theorem
Knowledge based agents
Knowledge based agents
Rule based system
Rule based system
Formal Logic in AI
Formal Logic in AI
Production based system
Production based system
Game playing in AI
Game playing in AI
Diagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AI
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
Dernier
If you are a Domino Administrator in any size company you already have a range of skills that make you an expert administrator across many platforms and technologies. In this session Gab explains how to apply those skills and that knowledge to take your career wherever you want to go.
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Gabriella Davis
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
Terragrunt, Terraspace, Terramate, terra... whatever. What is wrong with Terraform so people keep on creating wrappers and solutions around it? How OpenTofu will affect this dynamic? In this presentation, we will look into the fundamental driving forces behind a zoo of wrappers. Moreover, we are going to put together a wrapper ourselves so you can make an educated decision if you need one.
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
The Digital Insurer
Breathing New Life into MySQL Apps With Advanced Postgres Capabilities
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
RTylerCroy
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
The Digital Insurer
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
Boston Institute of Analytics
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
A Principled Technologies deployment guide Conclusion Deploying VMware Cloud Foundation 5.1 on next gen Dell PowerEdge servers brings together critical virtualization capabilities and high-performing hardware infrastructure. Relying on our hands-on experience, this deployment guide offers a comprehensive roadmap that can guide your organization through the seamless integration of advanced VMware cloud solutions with the performance and reliability of Dell PowerEdge servers. In addition to the deployment efficiency, the Cloud Foundation 5.1 and PowerEdge solution delivered strong performance while running a MySQL database workload. By leveraging VMware Cloud Foundation 5.1 and PowerEdge servers, you could help your organization embrace cloud computing with confidence, potentially unlocking a new level of agility, scalability, and efficiency in your data center operations.
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Principled Technologies
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Dernier
(20)
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Sql query [select, sub] 4
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
![[object Object],[object Object]](https://image.slidesharecdn.com/sqlqueryselectsub4-111119075704-phpapp02/85/Sql-query-select-sub-4-1-320.jpg)
![Syntax for SELECT statement: ,[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)