- published: 30 Oct 2022
- views: 496636
-
remove the playlistJoin (sql)
- remove the playlistJoin (sql)
Join (SQL)
A SQL join clause combines records from two or more tables in a relational database. It creates a set that can be saved as a table or used as it is. A JOIN is a means for combining fields from two tables (or more) by using values common to each. ANSI-standard SQL specifies five types of JOIN: INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER and CROSS. As a special case, a table (base table, view, or joined table) can JOIN to itself in a self-join.
A programmer writes a JOIN statement to identify records for joining. If the evaluated predicate is true, the combined record is then produced in the expected format, a record set or a temporary table.
Sample tables
Relational databases are usually normalized to eliminate duplication of information such as when objects have one-to-many relationships. For example, a Department may be associated with a number of Employees. Joining separate tables for Department and Employee effectively creates another table which combines the information from both tables. This is at some expense in terms of the time it takes to compute the join. While it is also possible to simply maintain a denormalized table if speed is important, duplicate information may take extra space, and add the expense and complexity of maintaining data integrity if data which is duplicated later changes.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Join_(SQL)
Join (topology)
In topology, a field of mathematics, the join of two topological spaces A and B, often denoted by 
, is defined to be the quotient space
where I is the interval [0, 1] and R is the equivalence relation generated by
At the endpoints, this collapses 
to 
and 
to 
.
Intuitively, is formed by taking the disjoint union of the two spaces and attaching a line segment joining every point in A to every point in B.
Properties
is homeomorphic to the reduced suspension
of the smash product. Consequently, since 
is contractible, there is a homotopy equivalence
Examples
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Join_(topology)
List of DOS commands
This article presents a list of commands used by DOS operating systems, especially as used on x86-based IBM PC compatibles (PCs). Other DOS operating systems are not part of the scope of this list.
In DOS, many standard system commands were provided for common tasks such as listing files on a disk or moving files. Some commands were built into the command interpreter, others existed as external commands on disk. Over the several generations of DOS, commands were added for the additional functions of the operating system. In the current Microsoft Windows operating system, a text-mode command prompt window, cmd.exe, can still be used.
Command processing
The command interpreter for DOS runs when no application programs are running. When an application exits, if the transient portion of the command interpreter in memory was overwritten, DOS will reload it from disk. Some commands are internal — built into COMMAND.COM; others are external commands stored on disk. When the user types a line of text at the operating system command prompt, COMMAND.COM will parse the line and attempt to match a command name to a built-in command or to the name of an executable program file or batch file on disk. If no match is found, an error message is printed, and the command prompt is refreshed.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/List_of_DOS_commands
Free
Media
Arts and philosophy
Computing
Mathematics
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Free
Free: The Future of a Radical Price
Free: The Future of a Radical Price is the second book written by Chris Anderson, Editor in chief of Wired magazine. The book was published on July 7, 2009 by Hyperion. He is also the author of The Long Tail, published in 2006.
Overview
Free follows a thread from the previous work. It examines the rise of pricing models which give products and services to customers for free, often as a strategy for attracting users and up-selling some of them to a premium level. That class of model has become widely referred to as "freemium" and has become very popular for a variety of digital products and services.
Release
Free was released in the United States on July 7, 2009, though the night before, on his blog, Chris Anderson posted a browser readable version of the book and the unabridged audiobook version. Anderson generated controversy for plagiarizing content from the online encyclopedia Wikipedia in Free. Anderson responded to the claim on his The Long Tail blog, stating that there were disagreements between him and the publisher over accurate citation of Wikipedia due to the changing nature of its content, leading him to integrate footnotes into the text. Also on his blog, he took full responsibility for the mistakes and noted that the digital editions of Free were corrected. The notes and sources were later provided as a download on his blog.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Free:_The_Future_of_a_Radical_Price
Free (Marcus Miller album)
Free is an album by jazz bassist Marcus Miller, released in 2007.
The album's title track is a cover of the 1977 Deniece Williams song. UK soul singer Corinne Bailey Rae provided lead vocals. "Higher Ground" is a song originally recorded by Stevie Wonder, and "What Is Hip" was originally performed by Tower of Power. "Jean Pierre" was originally performed by Miles Davis (On "We Want Miles", 1982). Blues singer Keb' Mo' performs lead vocals and co-wrote with Marcus Miller the track entitled "Milky Way".
The album's US version has not only a new title, Marcus, but the tracks have been remixed/recut. Four additional tracks have been added to the album as well.
Track listing
All tracks produced by Marcus Miller and David Isaac.
External links
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Free_(Marcus_Miller_album)
.church
.church is a generic top-level domain (gTLD) in the Domain Name System of the Internet. It comes from the common name church and is used by churches, congregations, ministries of religion, and entities who deal with them. The church domain was entered into the DNS root on May 15, 2014.
Holly Fileds, LLC c/o Donuts (corporation) is the registry acting as the official technical administrator of the .church TLD. It is required by ICANN to sell names via registrars such as Godaddy, Network Solutions and Web.com. This gTLD was approved by ICANN on 06 Feb 2014.
See also
References
External links
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/.church
Podcasts:
-
MySQL: JOINS are easy (INNER, LEFT, RIGHT)
#MySQL #course #tutorial 00:00:00 intro 00:01:46 INNER JOIN 00:03:48 LEFT JOIN 00:04:20 RIGHT JOIN 00:04:45 conclusion -- INNER JOIN selects records that have a matching key in both tables. SELECT * FROM transactions INNER JOIN customers ON transactions.customer_id = customers.customer_id; -- LEFT JOIN returns all records from the left table -- and the matching records from the right table SELECT * FROM transactions LEFT JOIN customers ON transactions.customer_id = customers.customer_id; -- RIGHT JOIN returns all records from the right table -- and the matching records from the left table SELECT * FROM transactions RIGHT JOIN customers ON transactions.customer_id = customers.customer_id;
published: 30 Oct 2022 -
6 SQL Joins you MUST know! (Animated + Practice)
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - [email protected] To practice SQL, run the following commands: docker run --detach --name my-postgres --env POSTGRES_PASSWORD=devops123 aputra/postgres-169:15.3 docker exec -it my-postgres psql -U postgres ▬▬▬▬▬ Experience & Location 💼 ▬▬▬▬▬ ► I’m a Senior Software Engineer at Juniper Networks (12+ years of experience) ► Located in San Francisco Bay Area, CA (US citizen) ▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬ ► LinkedIn: https://www.linkedin.com/in/anton-putra ► Twitter/X: https://twitter.com/antonvputra ► GitHub: https://github.com/antonputra ► Email: [email protected] ▬▬▬▬▬▬ Related videos 👨🏫 ▬▬▬▬▬▬ 👉 [Playlist] Database Tutorials: https://www.youtube.com/playlist?list=PLiMWaCMwGJXnhmmh5pu9sdWek...
published: 24 Jul 2023 -
SQL Joins Explained |¦| Joins in SQL |¦| SQL Tutorial
SQL Joins let you fetch data from 2 or more tables in your database. We will cover the more common types of Joins: Inner Joins, Left Joins, Right Joins, and Full Joins (also called ‘Full Outer Joins’). We will introduce these 4 kinds of Joins and prepare you for our next video where we will cover many examples. Our SQL playlist starts here: ↪http://bit.ly/Socratica_SQL Be sure to SUBSCRIBE for more SQL! ↪ http://bit.ly/SocraticaSubscribe You may also enjoy our Python playlist: ↪http://bit.ly/PythonSocratica ♦♦♦♦♦♦♦♦♦♦ Ways to support our channel: ► Join our Patreon : https://www.patreon.com/socratica ► Make a one-time PayPal donation: https://www.paypal.me/socratica ► We also accept Bitcoin @ 1EttYyGwJmpy9bLY2UcmEqMJuBfaZ1HdG9 Thank you! ♦♦♦♦♦♦♦♦♦♦ Connect with us! Faceboo...
published: 25 Mar 2019 -
SQL JOINS Tutorial for beginners | Practice SQL Queries using JOINS - Part 1
This is the SQL JOINS Tutorial for complete beginners. In this video we shall cover INNER Join, LEFT Join and RIGHT Join. I’ll be posting the second part of this video next week where we shall cover FULL OUTER Join, SELF Join, CROSS Join and NATURAL Join. Before we talk about different types of Joins in SQL, we shall first understand what are JOINS and why do we need them and then finally write some SQL queries to understand how to use them. We shall practice writing SQL queries using inner, left and right joins in this video. Joins are the most fundamental concepts in SQL and having a clear understanding of Joins is very essential to write good SQL queries. Timeline: 00:00 Intro 02:36 What are JOINS in SQL 05:30 Inner Joins in SQL 13:55 Left Join in SQL 19:59 Right Join in SQL My reco...
published: 06 Jan 2022 -
SQL Joins - Beginner to PRO Masterclass with 10 Examples
Left, right, inner, outer, anti, no matter what you call them, Joins are an important part of the SQL for data analysis. In this comprehensive video, learn how to create your first join and more with easy, clear and relevant explanation of the concepts. 💻 Get the data: ============== Visit https://chandoo.org/wp/learn-sql-for-data-analysis/ to get the dataset. Use the instructions on that page to set up the data in SQL Server or MySQL. Topics covered in this video: ======================= Why we need joins in the first place? Joins explained visually Join with a one table Join with two tables Joins and where clauses Join and group by Solving complex business questions using join and CTE ⏱ Video Chapters: ================ 0:00 - What is a join and why we need them? 2:22 - Our first joi...
published: 12 Mar 2024 -
SQL Joins: Difference Between Inner/Left/Right/Outer Joins
Join Jomaclass for full-length videos like this: https://joma.tech/dsa
published: 19 Sep 2020 -
Learn SQL Joins
An easy-to-follow SQL joins tutorial, with lots of examples. Covers the main types of SQL joins, namely: - INNER JOIN - LEFT OUTER JOIN - RIGHT OUTER JOIN - FULL OUTER JOIN - CROSS JOIN 0:00 Introduction 0:40 INNER JOINs 9:08 LEFT OUTER JOINs 13:04 RIGHT OUTER JOINs 15:36 FULL OUTER JOINs 17:10 Tailoring the matching criteria 18:40 CROSS JOINs 19:24 Joining a table to itself 21:06 Conclusion
published: 07 Apr 2023 -
Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases
Take my Full MySQL Course Here: https://bit.ly/3tqOipr In today's Intermediate SQL lesson we walk through Joins. Joins allow us to combine several tables, choose columns from each table, and use them in a single output. All Topics Covered: Joins, Unions, Case Statements, Updating/Deleting Data, Partition By, Data Types, Aliasing, Views, Having Clause, GetDate(), Primary vs Foreign Key ____________________________________________ LINKS Joins image: https://www.got-it.ai/solutions/sqlquerychat/sql-help/data-query/how-to-join-tables-in-sql-querychat/ ____________________________________________ SUBSCRIBE! Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your care...
published: 19 Mar 2020 -
SQL Server Query Tuning Series - Adverse Impacts of Excessive Indexing on Query Performance@jbswiki
SQL Server Query Tuning Series - The Write Dilemma: Adverse Impacts of Excessive Indexing on Query Performance @jbswiki #querytuning Welcome to our in-depth exploration of the adverse impacts of excessive indexing on query performance, specifically in the context of write queries. In this video, we will delve into the challenges that arise when a database has an abundance of indexes, shedding light on the potential pitfalls and offering insights on how to mitigate them. Introduction to Indexing To set the stage, we'll begin with an introduction to indexing in databases. We'll explain the purpose of indexes, their role in query optimization, and the benefits they provide for read operations. This foundation will help us understand why excessive indexing can lead to performance issues, pa...
published: 20 Dec 2024 -
Inner Join, Left Join, Right Join and Full Outer Join in SQL Server | SQL Server Joins
Buy SQL Server course from here https://www.questpond.com/sql-server-step-by-step--sql-interview-q-a-tutorial/cid70 For more such videos visit http://www.questpond.com For more such videos subscribe https://www.youtube.com/questpondvideos?sub_confirmation=1 See our other Step by Step video series below :- For more such videos subscribe https://www.youtube.com/questpondvideos See our other Step by Step video series below :- JavaScript Interview Questions: https://youtu.be/Zb4dPi7CANU Learn SQL Server Step by Step http://tinyurl.com/ja4zmwu Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Python Tutorial for Beginners:- https://youtu.be/KjJ7WzEL-es Learn Data Science in 1 hour :- https://tinyurl.com/y5o7qbau Learn Power BI Step by Step:- https://tinyurl.com/y6thhkxw PHP Interview...
published: 30 Mar 2012
developed with YouTube
5:04
MySQL: JOINS are easy (INNER, LEFT, RIGHT)
- Order: Reorder
- Duration: 5:04
- Uploaded Date: 30 Oct 2022
- views: 496636
#MySQL #course #tutorial
00:00:00 intro
00:01:46 INNER JOIN
00:03:48 LEFT JOIN
00:04:20 RIGHT JOIN
00:04:45 conclusion
-- INNER JOIN selects records that ha...
#MySQL #course #tutorial
00:00:00 intro
00:01:46 INNER JOIN
00:03:48 LEFT JOIN
00:04:20 RIGHT JOIN
00:04:45 conclusion
-- INNER JOIN selects records that have a matching key in both tables.
SELECT *
FROM transactions INNER JOIN customers
ON transactions.customer_id = customers.customer_id;
-- LEFT JOIN returns all records from the left table
-- and the matching records from the right table
SELECT *
FROM transactions LEFT JOIN customers
ON transactions.customer_id = customers.customer_id;
-- RIGHT JOIN returns all records from the right table
-- and the matching records from the left table
SELECT *
FROM transactions RIGHT JOIN customers
ON transactions.customer_id = customers.customer_id;
https://wn.com/Mysql_Joins_Are_Easy_(Inner,_Left,_Right)
#MySQL #course #tutorial
00:00:00 intro
00:01:46 INNER JOIN
00:03:48 LEFT JOIN
00:04:20 RIGHT JOIN
00:04:45 conclusion
-- INNER JOIN selects records that have a matching key in both tables.
SELECT *
FROM transactions INNER JOIN customers
ON transactions.customer_id = customers.customer_id;
-- LEFT JOIN returns all records from the left table
-- and the matching records from the right table
SELECT *
FROM transactions LEFT JOIN customers
ON transactions.customer_id = customers.customer_id;
-- RIGHT JOIN returns all records from the right table
-- and the matching records from the left table
SELECT *
FROM transactions RIGHT JOIN customers
ON transactions.customer_id = customers.customer_id;
9:47
6 SQL Joins you MUST know! (Animated + Practice)
- Order: Reorder
- Duration: 9:47
- Uploaded Date: 24 Jul 2023
- views: 221374
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - [email protected]
To practice SQL, run the following commands:
docker ...
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - [email protected]
To practice SQL, run the following commands:
docker run --detach --name my-postgres --env POSTGRES_PASSWORD=devops123 aputra/postgres-169:15.3
docker exec -it my-postgres psql -U postgres
▬▬▬▬▬ Experience & Location 💼 ▬▬▬▬▬
► I’m a Senior Software Engineer at Juniper Networks (12+ years of experience)
► Located in San Francisco Bay Area, CA (US citizen)
▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬
► LinkedIn: https://www.linkedin.com/in/anton-putra
► Twitter/X: https://twitter.com/antonvputra
► GitHub: https://github.com/antonputra
► Email: [email protected]
▬▬▬▬▬▬ Related videos 👨🏫 ▬▬▬▬▬▬
👉 [Playlist] Database Tutorials: https://www.youtube.com/playlist?list=PLiMWaCMwGJXnhmmh5pu9sdWekdRwAzV5f
▬▬▬▬▬▬▬ Timestamps ⏰ ▬▬▬▬▬▬▬
0:00 Intro
0:33 Primary and Foreign keys
2:39 Inner Join
5:00 Left Join
5:47 Right Join
7:07 Full Join
8:09 Union
9:00 Cross Join
▬▬▬▬▬▬▬ Source Code 📚 ▬▬▬▬▬▬▬
► GitHub: https://github.com/antonputra/tutorials/tree/main/lessons/169
#sql #sqljoins #rdbms
https://wn.com/6_Sql_Joins_You_Must_Know_(Animated_Practice)
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - [email protected]
To practice SQL, run the following commands:
docker run --detach --name my-postgres --env POSTGRES_PASSWORD=devops123 aputra/postgres-169:15.3
docker exec -it my-postgres psql -U postgres
▬▬▬▬▬ Experience & Location 💼 ▬▬▬▬▬
► I’m a Senior Software Engineer at Juniper Networks (12+ years of experience)
► Located in San Francisco Bay Area, CA (US citizen)
▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬
► LinkedIn: https://www.linkedin.com/in/anton-putra
► Twitter/X: https://twitter.com/antonvputra
► GitHub: https://github.com/antonputra
► Email: [email protected]
▬▬▬▬▬▬ Related videos 👨🏫 ▬▬▬▬▬▬
👉 [Playlist] Database Tutorials: https://www.youtube.com/playlist?list=PLiMWaCMwGJXnhmmh5pu9sdWekdRwAzV5f
▬▬▬▬▬▬▬ Timestamps ⏰ ▬▬▬▬▬▬▬
0:00 Intro
0:33 Primary and Foreign keys
2:39 Inner Join
5:00 Left Join
5:47 Right Join
7:07 Full Join
8:09 Union
9:00 Cross Join
▬▬▬▬▬▬▬ Source Code 📚 ▬▬▬▬▬▬▬
► GitHub: https://github.com/antonputra/tutorials/tree/main/lessons/169
#sql #sqljoins #rdbms
- published: 24 Jul 2023
- views: 221374
10:26
SQL Joins Explained |¦| Joins in SQL |¦| SQL Tutorial
- Order: Reorder
- Duration: 10:26
- Uploaded Date: 25 Mar 2019
- views: 839082
SQL Joins let you fetch data from 2 or more tables in your database. We will cover the more common types of Joins: Inner Joins, Left Joins, Right Joins, and F...
SQL Joins let you fetch data from 2 or more tables in your database. We will cover the more common types of Joins: Inner Joins, Left Joins, Right Joins, and Full Joins (also called ‘Full Outer Joins’). We will introduce these 4 kinds of Joins and prepare you for our next video where we will cover many examples.
Our SQL playlist starts here:
↪http://bit.ly/Socratica_SQL
Be sure to SUBSCRIBE for more SQL!
↪ http://bit.ly/SocraticaSubscribe
You may also enjoy our Python playlist:
↪http://bit.ly/PythonSocratica
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SQL instructor: Ulka Simone Mohanty (@ulkam on Twitter)
Written & Produced by Kimberly Hatch Harrison (@khhsocratica) & Michael Harrison (@mlh496)
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https://wn.com/Sql_Joins_Explained_|¦|_Joins_In_Sql_|¦|_Sql_Tutorial
SQL Joins let you fetch data from 2 or more tables in your database. We will cover the more common types of Joins: Inner Joins, Left Joins, Right Joins, and Full Joins (also called ‘Full Outer Joins’). We will introduce these 4 kinds of Joins and prepare you for our next video where we will cover many examples.
Our SQL playlist starts here:
↪http://bit.ly/Socratica_SQL
Be sure to SUBSCRIBE for more SQL!
↪ http://bit.ly/SocraticaSubscribe
You may also enjoy our Python playlist:
↪http://bit.ly/PythonSocratica
♦♦♦♦♦♦♦♦♦♦
Ways to support our channel:
► Join our Patreon : https://www.patreon.com/socratica
► Make a one-time PayPal donation: https://www.paypal.me/socratica
► We also accept Bitcoin @ 1EttYyGwJmpy9bLY2UcmEqMJuBfaZ1HdG9
Thank you!
♦♦♦♦♦♦♦♦♦♦
Connect with us!
Facebook: https://www.facebook.com/SocraticaStudios/
Instagram: https://www.instagram.com/SocraticaStudios/
Twitter: https://twitter.com/Socratica
♦♦♦♦♦♦♦♦♦♦
SQL instructor: Ulka Simone Mohanty (@ulkam on Twitter)
Written & Produced by Kimberly Hatch Harrison (@khhsocratica) & Michael Harrison (@mlh496)
♦♦♦♦♦♦♦♦♦♦
- published: 25 Mar 2019
- views: 839082
35:23
SQL JOINS Tutorial for beginners | Practice SQL Queries using JOINS - Part 1
- Order: Reorder
- Duration: 35:23
- Uploaded Date: 06 Jan 2022
- views: 1094902
This is the SQL JOINS Tutorial for complete beginners. In this video we shall cover INNER Join, LEFT Join and RIGHT Join. I’ll be posting the second part of thi...
This is the SQL JOINS Tutorial for complete beginners. In this video we shall cover INNER Join, LEFT Join and RIGHT Join. I’ll be posting the second part of this video next week where we shall cover FULL OUTER Join, SELF Join, CROSS Join and NATURAL Join.
Before we talk about different types of Joins in SQL, we shall first understand what are JOINS and why do we need them and then finally write some SQL queries to understand how to use them. We shall practice writing SQL queries using inner, left and right joins in this video.
Joins are the most fundamental concepts in SQL and having a clear understanding of Joins is very essential to write good SQL queries.
Timeline:
00:00 Intro
02:36 What are JOINS in SQL
05:30 Inner Joins in SQL
13:55 Left Join in SQL
19:59 Right Join in SQL
My recommended SQL Course: https://learnsql.com/?ref=thoufiqmohammed
Join my Discord Server: https://discord.gg/8aRSbygbdu
Join my FREE live SQL training session:
Batch 1 - Started on 03-Jan-2022 (08:00 pm Malaysian Time / 05:30 pm Indian Time)
Day: Monday, Tuesday, Thursday, Friday
Registration Link: https://www.lighthall.co/class/305d73cb-2381-4499-9088-54e82a4de7b8/
Batch 2 - Starts on 17-Jan-2022 (09:30 pm Malaysian Time / 07:00 pm Indian Time)
Day: Monday, Tuesday, Thursday, Friday
Registration Link: https://www.lighthall.co/class/185a13de-31a5-475a-abc3-b64926c054dc/
Note: Both batch 1 and batch 2 will cover the exact same topics. Just the date and time are different based on the convenience of everyone.
How to Join the sessions:
1) Go to https://www.lighthall.co/
2) Click the subject "Data Science"
3) Find my session and click on it. The sessions will automatically start 4 mins prior to the scheduled time.
Please do subscribe and like this video if you found it useful.
🔴 WATCH MORE VIDEOS HERE 👇
✅ SQL Tutorial - Basic concepts:
https://www.youtube.com/playlist?list=PLavw5C92dz9HQQ_COgGb7kf_1H8UWUBxO
✅ SQL Tutorial - Intermediate concepts:
https://www.youtube.com/playlist?list=PLavw5C92dz9FD9XspliRM_HZM_jK7tkii
✅ SQL Tutorial - Advance concepts:
https://www.youtube.com/playlist?list=PLavw5C92dz9GbmgiW4TWVnxhjMFOIf0Q7
✅ Practice Solving Basic SQL Queries:
https://www.youtube.com/playlist?list=PLavw5C92dz9F66P3GFo5O6nJ4DfZNhVsp
✅ Practice Solving Intermediate SQL Queries:
https://www.youtube.com/playlist?list=PLavw5C92dz9EIYmNXJ8ZtQ1bmLIpt0SpV
✅ Practice Solving Complex SQL Queries:
https://www.youtube.com/playlist?list=PLavw5C92dz9Fahr7taauUx5RnTfuGyL--
✅ Data Analytics Career guidance:
https://www.youtube.com/playlist?list=PLavw5C92dz9FDsr995DjwCy9XNaIukb8P
✅ SQL Course, SQL Training Platform Recommendations:
https://www.youtube.com/playlist?list=PLavw5C92dz9GqF1Q_zn8KnYvFgtEOh-2n
✅ Python Tutorial:
https://www.youtube.com/playlist?list=PLavw5C92dz9FePZXIo4jpsupqp3X0w2SW
THANK YOU,
Thoufiq
https://wn.com/Sql_Joins_Tutorial_For_Beginners_|_Practice_Sql_Queries_Using_Joins_Part_1
This is the SQL JOINS Tutorial for complete beginners. In this video we shall cover INNER Join, LEFT Join and RIGHT Join. I’ll be posting the second part of this video next week where we shall cover FULL OUTER Join, SELF Join, CROSS Join and NATURAL Join.
Before we talk about different types of Joins in SQL, we shall first understand what are JOINS and why do we need them and then finally write some SQL queries to understand how to use them. We shall practice writing SQL queries using inner, left and right joins in this video.
Joins are the most fundamental concepts in SQL and having a clear understanding of Joins is very essential to write good SQL queries.
Timeline:
00:00 Intro
02:36 What are JOINS in SQL
05:30 Inner Joins in SQL
13:55 Left Join in SQL
19:59 Right Join in SQL
My recommended SQL Course: https://learnsql.com/?ref=thoufiqmohammed
Join my Discord Server: https://discord.gg/8aRSbygbdu
Join my FREE live SQL training session:
Batch 1 - Started on 03-Jan-2022 (08:00 pm Malaysian Time / 05:30 pm Indian Time)
Day: Monday, Tuesday, Thursday, Friday
Registration Link: https://www.lighthall.co/class/305d73cb-2381-4499-9088-54e82a4de7b8/
Batch 2 - Starts on 17-Jan-2022 (09:30 pm Malaysian Time / 07:00 pm Indian Time)
Day: Monday, Tuesday, Thursday, Friday
Registration Link: https://www.lighthall.co/class/185a13de-31a5-475a-abc3-b64926c054dc/
Note: Both batch 1 and batch 2 will cover the exact same topics. Just the date and time are different based on the convenience of everyone.
How to Join the sessions:
1) Go to https://www.lighthall.co/
2) Click the subject "Data Science"
3) Find my session and click on it. The sessions will automatically start 4 mins prior to the scheduled time.
Please do subscribe and like this video if you found it useful.
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- published: 06 Jan 2022
- views: 1094902
27:08
SQL Joins - Beginner to PRO Masterclass with 10 Examples
- Order: Reorder
- Duration: 27:08
- Uploaded Date: 12 Mar 2024
- views: 51520
Left, right, inner, outer, anti, no matter what you call them, Joins are an important part of the SQL for data analysis. In this comprehensive video, learn how ...
Left, right, inner, outer, anti, no matter what you call them, Joins are an important part of the SQL for data analysis. In this comprehensive video, learn how to create your first join and more with easy, clear and relevant explanation of the concepts.
💻 Get the data:
==============
Visit https://chandoo.org/wp/learn-sql-for-data-analysis/ to get the dataset. Use the instructions on that page to set up the data in SQL Server or MySQL.
Topics covered in this video:
=======================
Why we need joins in the first place?
Joins explained visually
Join with a one table
Join with two tables
Joins and where clauses
Join and group by
Solving complex business questions using join and CTE
⏱ Video Chapters:
================
0:00 - What is a join and why we need them?
2:22 - Our first join in SQL
3:58 - Join Example #2 - Shipments by name & team
4:56 - Example #3 - Joins with where clause
5:51 - Example #4 - another Join with where clause
6:28 - Using where vs writing the condition in the join itself (#5)
7:22 - Using 3 tables in a join - Example #6
9:24 - Bonus tip with joins
9:52 - Joins and Grouping example (#7)
12:51 - Left, Right and Anti joins explained
14:30 - Left join example (#8)
17:29 - Anti join example (#9)
19:24 - A complex join example with real business problem
~
💡 Learn more SQL
===============
SQL for beginners: https://youtu.be/yfWcZ6eot4g
SQL Beginner to PRO video: https://youtu.be/l8DCPaHc5TQ
Using SQL with Power BI: https://youtu.be/UQJAHUUFK-o
50 Example SQL Queries - https://chandoo.org/wp/learn-sql-for-data-analysis/
😎 SQL Alternatives:
=================
Using Power Query: https://youtu.be/UAFExySaSPY
Using Pandas: https://youtu.be/mkYBJwX_dMs
~
#SQL #joins
https://wn.com/Sql_Joins_Beginner_To_Pro_Masterclass_With_10_Examples
Left, right, inner, outer, anti, no matter what you call them, Joins are an important part of the SQL for data analysis. In this comprehensive video, learn how to create your first join and more with easy, clear and relevant explanation of the concepts.
💻 Get the data:
==============
Visit https://chandoo.org/wp/learn-sql-for-data-analysis/ to get the dataset. Use the instructions on that page to set up the data in SQL Server or MySQL.
Topics covered in this video:
=======================
Why we need joins in the first place?
Joins explained visually
Join with a one table
Join with two tables
Joins and where clauses
Join and group by
Solving complex business questions using join and CTE
⏱ Video Chapters:
================
0:00 - What is a join and why we need them?
2:22 - Our first join in SQL
3:58 - Join Example #2 - Shipments by name & team
4:56 - Example #3 - Joins with where clause
5:51 - Example #4 - another Join with where clause
6:28 - Using where vs writing the condition in the join itself (#5)
7:22 - Using 3 tables in a join - Example #6
9:24 - Bonus tip with joins
9:52 - Joins and Grouping example (#7)
12:51 - Left, Right and Anti joins explained
14:30 - Left join example (#8)
17:29 - Anti join example (#9)
19:24 - A complex join example with real business problem
~
💡 Learn more SQL
===============
SQL for beginners: https://youtu.be/yfWcZ6eot4g
SQL Beginner to PRO video: https://youtu.be/l8DCPaHc5TQ
Using SQL with Power BI: https://youtu.be/UQJAHUUFK-o
50 Example SQL Queries - https://chandoo.org/wp/learn-sql-for-data-analysis/
😎 SQL Alternatives:
=================
Using Power Query: https://youtu.be/UAFExySaSPY
Using Pandas: https://youtu.be/mkYBJwX_dMs
~
#SQL #joins
- published: 12 Mar 2024
- views: 51520
10:52
SQL Joins: Difference Between Inner/Left/Right/Outer Joins
- Order: Reorder
- Duration: 10:52
- Uploaded Date: 19 Sep 2020
- views: 246552
Join Jomaclass for full-length videos like this: https://joma.tech/dsa
Join Jomaclass for full-length videos like this: https://joma.tech/dsa
https://wn.com/Sql_Joins_Difference_Between_Inner_Left_Right_Outer_Joins
Join Jomaclass for full-length videos like this: https://joma.tech/dsa
- published: 19 Sep 2020
- views: 246552
21:39
Learn SQL Joins
- Order: Reorder
- Duration: 21:39
- Uploaded Date: 07 Apr 2023
- views: 59087
An easy-to-follow SQL joins tutorial, with lots of examples. Covers the main types of SQL joins, namely:
- INNER JOIN
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
- FU...
An easy-to-follow SQL joins tutorial, with lots of examples. Covers the main types of SQL joins, namely:
- INNER JOIN
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
- FULL OUTER JOIN
- CROSS JOIN
0:00 Introduction
0:40 INNER JOINs
9:08 LEFT OUTER JOINs
13:04 RIGHT OUTER JOINs
15:36 FULL OUTER JOINs
17:10 Tailoring the matching criteria
18:40 CROSS JOINs
19:24 Joining a table to itself
21:06 Conclusion
https://wn.com/Learn_Sql_Joins
An easy-to-follow SQL joins tutorial, with lots of examples. Covers the main types of SQL joins, namely:
- INNER JOIN
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
- FULL OUTER JOIN
- CROSS JOIN
0:00 Introduction
0:40 INNER JOINs
9:08 LEFT OUTER JOINs
13:04 RIGHT OUTER JOINs
15:36 FULL OUTER JOINs
17:10 Tailoring the matching criteria
18:40 CROSS JOINs
19:24 Joining a table to itself
21:06 Conclusion
- published: 07 Apr 2023
- views: 59087
15:53
Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases
- Order: Reorder
- Duration: 15:53
- Uploaded Date: 19 Mar 2020
- views: 547569
Take my Full MySQL Course Here: https://bit.ly/3tqOipr
In today's Intermediate SQL lesson we walk through Joins. Joins allow us to combine several tables, choo...
Take my Full MySQL Course Here: https://bit.ly/3tqOipr
In today's Intermediate SQL lesson we walk through Joins. Joins allow us to combine several tables, choose columns from each table, and use them in a single output.
All Topics Covered: Joins, Unions, Case Statements, Updating/Deleting Data, Partition By, Data Types, Aliasing, Views, Having Clause, GetDate(), Primary vs Foreign Key
____________________________________________
LINKS
Joins image: https://www.got-it.ai/solutions/sqlquerychat/sql-help/data-query/how-to-join-tables-in-sql-querychat/
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Udemy Courses:
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https://wn.com/Intermediate_Sql_Tutorial_|_Inner_Outer_Joins_|_Use_Cases
Take my Full MySQL Course Here: https://bit.ly/3tqOipr
In today's Intermediate SQL lesson we walk through Joins. Joins allow us to combine several tables, choose columns from each table, and use them in a single output.
All Topics Covered: Joins, Unions, Case Statements, Updating/Deleting Data, Partition By, Data Types, Aliasing, Views, Having Clause, GetDate(), Primary vs Foreign Key
____________________________________________
LINKS
Joins image: https://www.got-it.ai/solutions/sqlquerychat/sql-help/data-query/how-to-join-tables-in-sql-querychat/
____________________________________________
SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________
RESOURCES:
Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN
*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________
Websites:
GitHub: https://github.com/AlexTheAnalyst
____________________________________________
*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*
- published: 19 Mar 2020
- views: 547569
9:57
SQL Server Query Tuning Series - Adverse Impacts of Excessive Indexing on Query Performance@jbswiki
- Order: Reorder
- Duration: 9:57
- Uploaded Date: 20 Dec 2024
- views: 72
SQL Server Query Tuning Series - The Write Dilemma: Adverse Impacts of Excessive Indexing on Query Performance @jbswiki #querytuning
Welcome to our in-depth e...
SQL Server Query Tuning Series - The Write Dilemma: Adverse Impacts of Excessive Indexing on Query Performance @jbswiki #querytuning
Welcome to our in-depth exploration of the adverse impacts of excessive indexing on query performance, specifically in the context of write queries. In this video, we will delve into the challenges that arise when a database has an abundance of indexes, shedding light on the potential pitfalls and offering insights on how to mitigate them.
Introduction to Indexing
To set the stage, we'll begin with an introduction to indexing in databases. We'll explain the purpose of indexes, their role in query optimization, and the benefits they provide for read operations. This foundation will help us understand why excessive indexing can lead to performance issues, particularly for write queries.
Understanding Write Queries (Approximately 600 words)
In this section, we'll dive into the characteristics of write queries. We'll explore the different types of write operations, such as inserts, updates, and deletes, and discuss their impact on the underlying indexes. Understanding the nature of write queries is crucial for comprehending the challenges that arise when too many indexes are present.
The Consequences of Excessive Indexing
Here, we'll delve into the adverse impacts of having an abundance of indexes on write query performance. We'll discuss how excessive indexing can lead to increased disk space usage, longer write times, and decreased overall system performance. We'll also explore the concept of index maintenance and the additional overhead it introduces when managing a large number of indexes.
Index Selection and Design Best Practices
To address the challenges posed by excessive indexing, we'll provide a set of best practices for index selection and design. We'll discuss strategies for identifying the most beneficial indexes for your specific workload, including analyzing query patterns, considering data access patterns, and understanding the trade-offs between read and write performance. We'll also cover techniques such as index consolidation, index filtering, and index compression to optimize write query performance.
Monitoring and Optimization Techniques
In this section, we'll explore monitoring and optimization techniques to mitigate the adverse impacts of excessive indexing. We'll discuss the importance of monitoring index usage and fragmentation, and how to identify and remove redundant or unused indexes. We'll also cover the concept of index defragmentation and provide guidance on when and how to perform it effectively.
Balancing Read and Write Performance
Lastly, we'll address the need for striking a balance between read and write performance when managing indexes. We'll discuss the trade-offs involved in index design decisions and emphasize the importance of aligning indexing strategies with the specific requirements of your workload. By understanding the trade-offs, you can make informed decisions to optimize overall system performance.
By the end of this video, you will have gained a comprehensive understanding of the adverse impacts of excessive indexing on write query performance. Armed with this knowledge, you'll be equipped to make informed decisions about index selection, design, and maintenance to ensure optimal performance in your database environment.
Join us on this exploration of the write dilemma and discover how to navigate the challenges posed by excessive indexing in your database system!
https://wn.com/Sql_Server_Query_Tuning_Series_Adverse_Impacts_Of_Excessive_Indexing_On_Query_Performance_Jbswiki
SQL Server Query Tuning Series - The Write Dilemma: Adverse Impacts of Excessive Indexing on Query Performance @jbswiki #querytuning
Welcome to our in-depth exploration of the adverse impacts of excessive indexing on query performance, specifically in the context of write queries. In this video, we will delve into the challenges that arise when a database has an abundance of indexes, shedding light on the potential pitfalls and offering insights on how to mitigate them.
Introduction to Indexing
To set the stage, we'll begin with an introduction to indexing in databases. We'll explain the purpose of indexes, their role in query optimization, and the benefits they provide for read operations. This foundation will help us understand why excessive indexing can lead to performance issues, particularly for write queries.
Understanding Write Queries (Approximately 600 words)
In this section, we'll dive into the characteristics of write queries. We'll explore the different types of write operations, such as inserts, updates, and deletes, and discuss their impact on the underlying indexes. Understanding the nature of write queries is crucial for comprehending the challenges that arise when too many indexes are present.
The Consequences of Excessive Indexing
Here, we'll delve into the adverse impacts of having an abundance of indexes on write query performance. We'll discuss how excessive indexing can lead to increased disk space usage, longer write times, and decreased overall system performance. We'll also explore the concept of index maintenance and the additional overhead it introduces when managing a large number of indexes.
Index Selection and Design Best Practices
To address the challenges posed by excessive indexing, we'll provide a set of best practices for index selection and design. We'll discuss strategies for identifying the most beneficial indexes for your specific workload, including analyzing query patterns, considering data access patterns, and understanding the trade-offs between read and write performance. We'll also cover techniques such as index consolidation, index filtering, and index compression to optimize write query performance.
Monitoring and Optimization Techniques
In this section, we'll explore monitoring and optimization techniques to mitigate the adverse impacts of excessive indexing. We'll discuss the importance of monitoring index usage and fragmentation, and how to identify and remove redundant or unused indexes. We'll also cover the concept of index defragmentation and provide guidance on when and how to perform it effectively.
Balancing Read and Write Performance
Lastly, we'll address the need for striking a balance between read and write performance when managing indexes. We'll discuss the trade-offs involved in index design decisions and emphasize the importance of aligning indexing strategies with the specific requirements of your workload. By understanding the trade-offs, you can make informed decisions to optimize overall system performance.
By the end of this video, you will have gained a comprehensive understanding of the adverse impacts of excessive indexing on write query performance. Armed with this knowledge, you'll be equipped to make informed decisions about index selection, design, and maintenance to ensure optimal performance in your database environment.
Join us on this exploration of the write dilemma and discover how to navigate the challenges posed by excessive indexing in your database system!
- published: 20 Dec 2024
- views: 72
8:11
Inner Join, Left Join, Right Join and Full Outer Join in SQL Server | SQL Server Joins
- Order: Reorder
- Duration: 8:11
- Uploaded Date: 30 Mar 2012
- views: 1748104
Buy SQL Server course from here https://www.questpond.com/sql-server-step-by-step--sql-interview-q-a-tutorial/cid70
For more such videos visit http://www.questp...
Buy SQL Server course from here https://www.questpond.com/sql-server-step-by-step--sql-interview-q-a-tutorial/cid70
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Python Tutorial for Beginners:- https://youtu.be/KjJ7WzEL-es
Learn Data Science in 1 hour :- https://tinyurl.com/y5o7qbau
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Learn Tableau step by step :- https://tinyurl.com/kh6ojyo
Preparing for C# / .NET interviews start here http://www.youtube.com/watch?v=gaDn-sVLj8Q
In this video we will try to understand four important concepts Inner joins,Left join,Right join and full outer joins.
We are also distributing a 100 page Ebook ".Sql Server Interview Question and Answers". If you want this ebook please share this video in your facebook/twitter/linkedin account and email us on [email protected] with the shared link and we will email you the PDF.
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#InnerJoin #SQlServerTutorial #LeftJoin #SQL #RightJoin #SQLServercourse #FullOuterJoin #JoinsinSQLServer #SQLServerInterviewQuestions #SQLServerInterviewQuestions&Answers
https://wn.com/Inner_Join,_Left_Join,_Right_Join_And_Full_Outer_Join_In_Sql_Server_|_Sql_Server_Joins
Buy SQL Server course from here https://www.questpond.com/sql-server-step-by-step--sql-interview-q-a-tutorial/cid70
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For more such videos subscribe https://www.youtube.com/questpondvideos
See our other Step by Step video series below :-
JavaScript Interview Questions: https://youtu.be/Zb4dPi7CANU
Learn SQL Server Step by Step http://tinyurl.com/ja4zmwu
Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN
Python Tutorial for Beginners:- https://youtu.be/KjJ7WzEL-es
Learn Data Science in 1 hour :- https://tinyurl.com/y5o7qbau
Learn Power BI Step by Step:- https://tinyurl.com/y6thhkxw
PHP Interview Questions : https://youtu.be/1bpNSynUrl8
C# tutorial for beginners(4 hrs):- https://youtu.be/AxEGRBFwlmI
Learn Azure Step by Step:- https://youtu.be/wdUK7bCMXqs
Azure AZ-900 fundamentals certification :- https://youtu.be/hC9iGgJorz8
Angular Interview Questions and Answers :- https://youtu.be/-jeoyDJDsSM
Learn Angular tutorial step by step https://tinyurl.com/ycd9j895
Learn MVC 5 step by step in 16 hours:- https://youtu.be/Lp7nSImO5vk
Learn Design Pattern Step by Step https://goo.gl/eJdn0m
Learn Tableau step by step :- https://tinyurl.com/kh6ojyo
Preparing for C# / .NET interviews start here http://www.youtube.com/watch?v=gaDn-sVLj8Q
In this video we will try to understand four important concepts Inner joins,Left join,Right join and full outer joins.
We are also distributing a 100 page Ebook ".Sql Server Interview Question and Answers". If you want this ebook please share this video in your facebook/twitter/linkedin account and email us on [email protected] with the shared link and we will email you the PDF.
-----------------------------------------------------------------------------------------------
For more details :-
🌐 Website : www.questpond.com
📱 Mob. No. : +91-9967590707 / +91 7700975156 / +91-22-49786776
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#InnerJoin #SQlServerTutorial #LeftJoin #SQL #RightJoin #SQLServercourse #FullOuterJoin #JoinsinSQLServer #SQLServerInterviewQuestions #SQLServerInterviewQuestions&Answers
- published: 30 Mar 2012
- views: 1748104
5:04
MySQL: JOINS are easy (INNER, LEFT, RIGHT)
#MySQL #course #tutorial
00:00:00 intro
00:01:46 INNER JOIN
00:03:48 LEFT JOIN
00:04:20...
published: 30 Oct 2022
MySQL: JOINS are easy (INNER, LEFT, RIGHT)
MySQL: JOINS are easy (INNER, LEFT, RIGHT)
- Report rights infringement
- published: 30 Oct 2022
- views: 496636
#MySQL #course #tutorial
00:00:00 intro
00:01:46 INNER JOIN
00:03:48 LEFT JOIN
00:04:20 RIGHT JOIN
00:04:45 conclusion
-- INNER JOIN selects records that have a matching key in both tables.
SELECT *
FROM transactions INNER JOIN customers
ON transactions.customer_id = customers.customer_id;
-- LEFT JOIN returns all records from the left table
-- and the matching records from the right table
SELECT *
FROM transactions LEFT JOIN customers
ON transactions.customer_id = customers.customer_id;
-- RIGHT JOIN returns all records from the right table
-- and the matching records from the left table
SELECT *
FROM transactions RIGHT JOIN customers
ON transactions.customer_id = customers.customer_id;
9:47
6 SQL Joins you MUST know! (Animated + Practice)
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - me...
published: 24 Jul 2023
6 SQL Joins you MUST know! (Animated + Practice)
6 SQL Joins you MUST know! (Animated + Practice)
- Report rights infringement
- published: 24 Jul 2023
- views: 221374
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - [email protected]
To practice SQL, run the following commands:
docker run --detach --name my-postgres --env POSTGRES_PASSWORD=devops123 aputra/postgres-169:15.3
docker exec -it my-postgres psql -U postgres
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► Located in San Francisco Bay Area, CA (US citizen)
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▬▬▬▬▬▬▬ Timestamps ⏰ ▬▬▬▬▬▬▬
0:00 Intro
0:33 Primary and Foreign keys
2:39 Inner Join
5:00 Left Join
5:47 Right Join
7:07 Full Join
8:09 Union
9:00 Cross Join
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#sql #sqljoins #rdbms
10:26
SQL Joins Explained |¦| Joins in SQL |¦| SQL Tutorial
SQL Joins let you fetch data from 2 or more tables in your database. We will cover the mo...
published: 25 Mar 2019
SQL Joins Explained |¦| Joins in SQL |¦| SQL Tutorial
SQL Joins Explained |¦| Joins in SQL |¦| SQL Tutorial
- Report rights infringement
- published: 25 Mar 2019
- views: 839082
SQL Joins let you fetch data from 2 or more tables in your database. We will cover the more common types of Joins: Inner Joins, Left Joins, Right Joins, and Full Joins (also called ‘Full Outer Joins’). We will introduce these 4 kinds of Joins and prepare you for our next video where we will cover many examples.
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35:23
SQL JOINS Tutorial for beginners | Practice SQL Queries using JOINS - Part 1
This is the SQL JOINS Tutorial for complete beginners. In this video we shall cover INNER ...
published: 06 Jan 2022
SQL JOINS Tutorial for beginners | Practice SQL Queries using JOINS - Part 1
SQL JOINS Tutorial for beginners | Practice SQL Queries using JOINS - Part 1
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- published: 06 Jan 2022
- views: 1094902
This is the SQL JOINS Tutorial for complete beginners. In this video we shall cover INNER Join, LEFT Join and RIGHT Join. I’ll be posting the second part of this video next week where we shall cover FULL OUTER Join, SELF Join, CROSS Join and NATURAL Join.
Before we talk about different types of Joins in SQL, we shall first understand what are JOINS and why do we need them and then finally write some SQL queries to understand how to use them. We shall practice writing SQL queries using inner, left and right joins in this video.
Joins are the most fundamental concepts in SQL and having a clear understanding of Joins is very essential to write good SQL queries.
Timeline:
00:00 Intro
02:36 What are JOINS in SQL
05:30 Inner Joins in SQL
13:55 Left Join in SQL
19:59 Right Join in SQL
My recommended SQL Course: https://learnsql.com/?ref=thoufiqmohammed
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✅ SQL Tutorial - Basic concepts:
https://www.youtube.com/playlist?list=PLavw5C92dz9HQQ_COgGb7kf_1H8UWUBxO
✅ SQL Tutorial - Intermediate concepts:
https://www.youtube.com/playlist?list=PLavw5C92dz9FD9XspliRM_HZM_jK7tkii
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✅ SQL Course, SQL Training Platform Recommendations:
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✅ Python Tutorial:
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27:08
SQL Joins - Beginner to PRO Masterclass with 10 Examples
Left, right, inner, outer, anti, no matter what you call them, Joins are an important part...
published: 12 Mar 2024
SQL Joins - Beginner to PRO Masterclass with 10 Examples
SQL Joins - Beginner to PRO Masterclass with 10 Examples
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- published: 12 Mar 2024
- views: 51520
Left, right, inner, outer, anti, no matter what you call them, Joins are an important part of the SQL for data analysis. In this comprehensive video, learn how to create your first join and more with easy, clear and relevant explanation of the concepts.
💻 Get the data:
==============
Visit https://chandoo.org/wp/learn-sql-for-data-analysis/ to get the dataset. Use the instructions on that page to set up the data in SQL Server or MySQL.
Topics covered in this video:
=======================
Why we need joins in the first place?
Joins explained visually
Join with a one table
Join with two tables
Joins and where clauses
Join and group by
Solving complex business questions using join and CTE
⏱ Video Chapters:
================
0:00 - What is a join and why we need them?
2:22 - Our first join in SQL
3:58 - Join Example #2 - Shipments by name & team
4:56 - Example #3 - Joins with where clause
5:51 - Example #4 - another Join with where clause
6:28 - Using where vs writing the condition in the join itself (#5)
7:22 - Using 3 tables in a join - Example #6
9:24 - Bonus tip with joins
9:52 - Joins and Grouping example (#7)
12:51 - Left, Right and Anti joins explained
14:30 - Left join example (#8)
17:29 - Anti join example (#9)
19:24 - A complex join example with real business problem
~
💡 Learn more SQL
===============
SQL for beginners: https://youtu.be/yfWcZ6eot4g
SQL Beginner to PRO video: https://youtu.be/l8DCPaHc5TQ
Using SQL with Power BI: https://youtu.be/UQJAHUUFK-o
50 Example SQL Queries - https://chandoo.org/wp/learn-sql-for-data-analysis/
😎 SQL Alternatives:
=================
Using Power Query: https://youtu.be/UAFExySaSPY
Using Pandas: https://youtu.be/mkYBJwX_dMs
~
#SQL #joins
10:52
SQL Joins: Difference Between Inner/Left/Right/Outer Joins
Join Jomaclass for full-length videos like this: https://joma.tech/dsa
published: 19 Sep 2020
SQL Joins: Difference Between Inner/Left/Right/Outer Joins
SQL Joins: Difference Between Inner/Left/Right/Outer Joins
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- published: 19 Sep 2020
- views: 246552
Join Jomaclass for full-length videos like this: https://joma.tech/dsa
21:39
Learn SQL Joins
An easy-to-follow SQL joins tutorial, with lots of examples. Covers the main types of SQL ...
published: 07 Apr 2023
Learn SQL Joins
Learn SQL Joins
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- published: 07 Apr 2023
- views: 59087
An easy-to-follow SQL joins tutorial, with lots of examples. Covers the main types of SQL joins, namely:
- INNER JOIN
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
- FULL OUTER JOIN
- CROSS JOIN
0:00 Introduction
0:40 INNER JOINs
9:08 LEFT OUTER JOINs
13:04 RIGHT OUTER JOINs
15:36 FULL OUTER JOINs
17:10 Tailoring the matching criteria
18:40 CROSS JOINs
19:24 Joining a table to itself
21:06 Conclusion
15:53
Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases
Take my Full MySQL Course Here: https://bit.ly/3tqOipr
In today's Intermediate SQL lesson...
published: 19 Mar 2020
Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases
Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases
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- published: 19 Mar 2020
- views: 547569
Take my Full MySQL Course Here: https://bit.ly/3tqOipr
In today's Intermediate SQL lesson we walk through Joins. Joins allow us to combine several tables, choose columns from each table, and use them in a single output.
All Topics Covered: Joins, Unions, Case Statements, Updating/Deleting Data, Partition By, Data Types, Aliasing, Views, Having Clause, GetDate(), Primary vs Foreign Key
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9:57
SQL Server Query Tuning Series - Adverse Impacts of Excessive Indexing on Query Performance@jbswiki
SQL Server Query Tuning Series - The Write Dilemma: Adverse Impacts of Excessive Indexing ...
published: 20 Dec 2024
SQL Server Query Tuning Series - Adverse Impacts of Excessive Indexing on Query Performance@jbswiki
SQL Server Query Tuning Series - Adverse Impacts of Excessive Indexing on Query Performance@jbswiki
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- published: 20 Dec 2024
- views: 72
SQL Server Query Tuning Series - The Write Dilemma: Adverse Impacts of Excessive Indexing on Query Performance @jbswiki #querytuning
Welcome to our in-depth exploration of the adverse impacts of excessive indexing on query performance, specifically in the context of write queries. In this video, we will delve into the challenges that arise when a database has an abundance of indexes, shedding light on the potential pitfalls and offering insights on how to mitigate them.
Introduction to Indexing
To set the stage, we'll begin with an introduction to indexing in databases. We'll explain the purpose of indexes, their role in query optimization, and the benefits they provide for read operations. This foundation will help us understand why excessive indexing can lead to performance issues, particularly for write queries.
Understanding Write Queries (Approximately 600 words)
In this section, we'll dive into the characteristics of write queries. We'll explore the different types of write operations, such as inserts, updates, and deletes, and discuss their impact on the underlying indexes. Understanding the nature of write queries is crucial for comprehending the challenges that arise when too many indexes are present.
The Consequences of Excessive Indexing
Here, we'll delve into the adverse impacts of having an abundance of indexes on write query performance. We'll discuss how excessive indexing can lead to increased disk space usage, longer write times, and decreased overall system performance. We'll also explore the concept of index maintenance and the additional overhead it introduces when managing a large number of indexes.
Index Selection and Design Best Practices
To address the challenges posed by excessive indexing, we'll provide a set of best practices for index selection and design. We'll discuss strategies for identifying the most beneficial indexes for your specific workload, including analyzing query patterns, considering data access patterns, and understanding the trade-offs between read and write performance. We'll also cover techniques such as index consolidation, index filtering, and index compression to optimize write query performance.
Monitoring and Optimization Techniques
In this section, we'll explore monitoring and optimization techniques to mitigate the adverse impacts of excessive indexing. We'll discuss the importance of monitoring index usage and fragmentation, and how to identify and remove redundant or unused indexes. We'll also cover the concept of index defragmentation and provide guidance on when and how to perform it effectively.
Balancing Read and Write Performance
Lastly, we'll address the need for striking a balance between read and write performance when managing indexes. We'll discuss the trade-offs involved in index design decisions and emphasize the importance of aligning indexing strategies with the specific requirements of your workload. By understanding the trade-offs, you can make informed decisions to optimize overall system performance.
By the end of this video, you will have gained a comprehensive understanding of the adverse impacts of excessive indexing on write query performance. Armed with this knowledge, you'll be equipped to make informed decisions about index selection, design, and maintenance to ensure optimal performance in your database environment.
Join us on this exploration of the write dilemma and discover how to navigate the challenges posed by excessive indexing in your database system!
8:11
Inner Join, Left Join, Right Join and Full Outer Join in SQL Server | SQL Server Joins
Buy SQL Server course from here https://www.questpond.com/sql-server-step-by-step--sql-int...
published: 30 Mar 2012
Inner Join, Left Join, Right Join and Full Outer Join in SQL Server | SQL Server Joins
Inner Join, Left Join, Right Join and Full Outer Join in SQL Server | SQL Server Joins
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- published: 30 Mar 2012
- views: 1748104
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In this video we will try to understand four important concepts Inner joins,Left join,Right join and full outer joins.
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Join (SQL)
A SQL join clause combines records from two or more tables in a relational database. It creates a set that can be saved as a table or used as it is. A JOIN is a means for combining fields from two tables (or more) by using values common to each. ANSI-standard SQL specifies five types of JOIN: INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER and CROSS. As a special case, a table (base table, view, or joined table) can JOIN to itself in a self-join.
A programmer writes a JOIN statement to identify records for joining. If the evaluated predicate is true, the combined record is then produced in the expected format, a record set or a temporary table.
Sample tables
Relational databases are usually normalized to eliminate duplication of information such as when objects have one-to-many relationships. For example, a Department may be associated with a number of Employees. Joining separate tables for Department and Employee effectively creates another table which combines the information from both tables. This is at some expense in terms of the time it takes to compute the join. While it is also possible to simply maintain a denormalized table if speed is important, duplicate information may take extra space, and add the expense and complexity of maintaining data integrity if data which is duplicated later changes.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Join_(SQL)
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