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Rank and Dense Rank in SQL Server
 
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rank and dense_rank example difference between rank and dense_rank with example rank vs dense_rank in sql server 2008 sql server difference between rank and dense_rank In this video we will discuss Rank and Dense_Rank functions in SQL Server Rank and Dense_Rank functions Introduced in SQL Server 2005 Returns a rank starting at 1 based on the ordering of rows imposed by the ORDER BY clause ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, rank is reset to 1 when the partition changes Difference between Rank and Dense_Rank functions Rank function skips ranking(s) if there is a tie where as Dense_Rank will not. For example : If you have 2 rows at rank 1 and you have 5 rows in total. RANK() returns - 1, 1, 3, 4, 5 DENSE_RANK returns - 1, 1, 2, 3, 4 Syntax : RANK() OVER (ORDER BY Col1, Col2, ...) DENSE_RANK() OVER (ORDER BY Col1, Col2, ...) RANK() and DENSE_RANK() functions without PARTITION BY clause : In this example, data is not partitioned, so RANK() function provides a consecutive numbering except when there is a tie. Rank 2 is skipped as there are 2 rows at rank 1. The third row gets rank 3. DENSE_RANK() on the other hand will not skip ranks if there is a tie. The first 2 rows get rank 1. Third row gets rank 2. SELECT Name, Salary, Gender, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees RANK() and DENSE_RANK() functions with PARTITION BY clause : Notice when the partition changes from Female to Male Rank is reset to 1 SELECT Name, Salary, Gender, RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS DenseRank FROM Employees Use case for RANK and DENSE_RANK functions : Both these functions can be used to find Nth highest salary. However, which function to use depends on what you want to do when there is a tie. Let me explain with an example. If there are 2 employees with the FIRST highest salary, there are 2 different business cases 1. If your business case is, not to produce any result for the SECOND highest salary, then use RANK function 2. If your business case is to return the next Salary after the tied rows as the SECOND highest Salary, then use DENSE_RANK function Since we have 2 Employees with the FIRST highest salary. Rank() function will not return any rows for the SECOND highest Salary. WITH Result AS ( SELECT Salary, RANK() OVER (ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 2 Though we have 2 Employees with the FIRST highest salary. Dense_Rank() function returns, the next Salary after the tied rows as the SECOND highest Salary WITH Result AS ( SELECT Salary, DENSE_RANK() OVER (ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 2 You can also use RANK and DENSE_RANK functions to find the Nth highest Salary among Male or Female employee groups. The following query finds the 3rd highest salary amount paid among the Female employees group WITH Result AS ( SELECT Salary, Gender, DENSE_RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 3 AND Gender = 'Female' Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/rank-and-denserank-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/rank-and-denserank-in-sql-server_1.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 86716 kudvenkat
Difference between Row Number, Rank and Dense Rank | Oracle SQL Tutorial | Mr.Murali
 
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►For Registration : https://goo.gl/r6kJbB ►Call: +91-8179191999 ► Visit Our Website: http://nareshit.in/ http://nareshit.com/ ► About NareshIT: "Naresh IT is the Best Software Training Institute for Hadoop, Salesforce, AWS, DevOps, Sprak, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in Hyderabad, Chennai and Vijayawada, India which provides online and classroom training classes" ►For Registration : https://goo.gl/r6kJbB ►Call: India- 8179191999, USA- 404-232-9879 Email: [email protected] ►Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5.Share Video's of each and every session. Check The Below Links: ►For Course Reg : https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Visit Our Website: http://nareshit.in/ http://nareshit.com/
Views: 13021 Naresh i Technologies
Analytical Functions in oracle explained with real examples
 
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This video explains analytical functions and how they are implemented in real projects. Analytical functions are somewhat similar to aggregate functions,but they offer much more. Why use analytical function ? They allow you to write fast and concise queries which otherwise will involve self join and long processing times They allow you to perform aggregate functions independently on sets of partitions. You can access values from previous rows in current row and you can restrict the window on which you want to apply this analytical function. I have given additional practice exercises along with the dataset so that you can comfortably work with analytical functions. You can find the sample problems along with dataset in the below link. http://www.internshipsfromhome.com/oracle-analytical-functions-ddl-and-dml/
Views: 29622 Tech Coach
Tuorial : Oracle Analytical Functions rank , denserank , top n query
 
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This video gives introduction on how oracle analytical functions like rank , dense rank work. How they should be used practically. How to perform Top N Query with Analytical Functions. Sofware used can be downloaded from : www.querylight.in
Views: 1355 Query Light
RANK and DENCE_RANK in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar
 
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RANK and DENCE_RANK in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 💡 Visit Our Website for Classroom Training: https://nareshit.in/oracle-training/ 💡 For Online Training: https://nareshit.com/oracle-online-training/ #Oracle #Training #CourseVideos -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 19801 Naresh i Technologies
SQL: Rank & Dense_rank functions
 
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In this tutorial, you'll learn the difference between rank() and dense_rank() functions..
Views: 29472 radhikaravikumar
SQL: Group By,  Having, Min, Max Sum
 
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Learn to summarize yoru data using the SQL Aggregates such as count and sum and the GROUP BY and HAVING clauses of the SELECT statement
Views: 161618 Michael Fudge
SQL Server interview question :- Explain RowNumber,Partition,Rank and DenseRank ?
 
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For more such videos visit http://www.questpond.com See our other Step by Step video series below :- Learn SQL Server Step by Step in 16 hours:- http://tinyurl.com/ja4zmwu Learn Angular tutorial for beginners https://tinyurl.com/ycd9j895 Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn MVC 5 Step by Step in 16 hours:- https://goo.gl/dmdakg Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Learn Xamarin Mobile Programming Step by Step :- https://goo.gl/WDVFuy Learn Design Pattern Step by Step in 8 hours:- https://goo.gl/eJdn0m Learn C# Step by Step in 100 hours :- https://goo.gl/FNlqn3 Learn Data structures & algorithm in 8 hours :-https://tinyurl.com/ybx29c5s Learn Javascript in 2 hours :- http://tinyurl.com/zkljbdl Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP Learn TypeScript in 45 Minutes :- https://goo.gl/oRkawI Learn webpack in 50 minutes:- https://goo.gl/ab7VJi Learn Visual Studio code in 10 steps for beginners:- https://tinyurl.com/lwgv8r8 Learn Tableau step by step :- https://tinyurl.com/kh6ojyo SQL Server interview question :- Explain RowNumber,Partition,Rank and DenseRank ? We are also distributing a 100 page Ebook "Sql Server Interview Questions". 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.
SQL TOP, RANK, DENSE_RANK, ROW_NUMBER Functions
 
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Jamie King of Neumont University demonstrating various SQL ranking functions.
Views: 24409 Jamie King
NTILE function in SQL Server
 
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In this video we will discuss NTILE function in SQL Server NTILE function 1. Introduced in SQL Server 2005 2. ORDER BY Clause is required 3. PARTITION BY clause is optional 4. Distributes the rows into a specified number of groups 5. If the number of rows is not divisible by number of groups, you may have groups of two different sizes. 6. Larger groups come before smaller groups For example NTILE(2) of 10 rows divides the rows in 2 Groups (5 in each group) NTILE(3) of 10 rows divides the rows in 3 Groups (4 in first group, 3 in 2nd & 3rd group) Syntax : NTILE (Number_of_Groups) OVER (ORDER BY Col1, Col2, ...) SQL Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go NTILE function without PARTITION BY clause : Divides the 10 rows into 3 groups. 4 rows in first group, 3 rows in the 2nd & 3rd group. SELECT Name, Gender, Salary, NTILE(3) OVER (ORDER BY Salary) AS [Ntile] FROM Employees What if the specified number of groups is GREATER THAN the number of rows NTILE function will try to create as many groups as possible with one row in each group. With 10 rows in the table, NTILE(11) will create 10 groups with 1 row in each group. SELECT Name, Gender, Salary, NTILE(11) OVER (ORDER BY Salary) AS [Ntile] FROM Employees NTILE function with PARTITION BY clause : When the data is partitioned, NTILE function creates the specified number of groups with in each partition. The following query partitions the data into 2 partitions (Male & Female). NTILE(3) creates 3 groups in each of the partitions. SELECT Name, Gender, Salary, NTILE(3) OVER (PARTITION BY GENDER ORDER BY Salary) AS [Ntile] FROM Employees Link for all dot net and sql server video tutorial playlists https://www.youtube.com/user/kudvenkat/playlists?sort=dd&view=1 Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/ntile-function-in-sql-server.html
Views: 42524 kudvenkat
SQL Tutorial - Window Functions - Ranking with Group By
 
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Another fantastic SQL Tutorial brought to you by BeardedDev. If you are new to working with Windows Functions check out this video: https://youtu.be/H6OTMoXjNiM If you want to find out more about the Group By clause and working with aggregate functions check out this video: https://youtu.be/TYD6gWP3jBg If you are interested in finding out more about ranking functions available in SQL Server check out this video: https://youtu.be/xL7BtCT7ix4 In this tutorial we explore ranking functions as part of Window Functions using the Group By clause within SQL Server. In this example we go through how to rank customers based on the sum of the orders they have placed with us. The window function example also covers the difference between using Rank and Dense_Rank. SQL SELECT Sales_Cust_Id , SUM(Sales_Total) AS Total FROM dbo.Sales_2 GROUP BY Sales_Cust_Id ORDER BY Total DESC SELECT Sales_Cust_Id , SUM(Sales_Total) AS Total , RANK() OVER(ORDER BY SUM(Sales_Total) DESC) AS rnk , DENSE_RANK() OVER(ORDER BY SUM(Sales_Total) DESC) AS dnse FROM dbo.Sales_2 GROUP BY Sales_Cust_Id ORDER BY rnk
Views: 2075 BeardedDev
GROUP BY with Aggregate functions in SQL statement
 
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Using "GROUP BY" clause with Aggregate functions in SQL statement Check the whole "SQL Server Basics" series here: https://www.youtube.com/playlist?list=PLU9JMEzjCv14f3cWDhubPaddxRvx1reKR Check my SQL blog at: http://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 48579 SQL with Manoj
Getting Started with PL/SQL Table Functions: Pipelined Table Functions
 
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Pipelined table functions are table functions in which rows are returned or "piped" back to the calling query before the function has completed, avoiding the blocking behavior of normal PL/SQL functions and reduce PGA consumption. This video is part of the Oracle Dev Gym class "Getting Started with Table Functions". You can watch it independent of the class, but then you miss out on the tutorials and quizzes! So visit https://devgym.oracle.com/pls/apex/dg/class/getting-started-with-pl-sql-table-functions.html and register for the class! ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2018 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
RANK Aggregate Function in SQL with an Example
 
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RANK() Aggregate Function: RANK calculates the rank of a value in a group of values. The return type is NUMBER. Query used in video: select RANK(5000) WITHIN GROUP (ORDER BY sal) "Rank" from emp;
Views: 1150 WingsOfTechnology
Oracle PL SQL interview question RANK and DENSE RANK as Aggregate Function and Analytical Function
 
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Oracle PL SQL interview question RANK and DENSE RANK as Aggregate Function and Analytical Function Click here to subscribe to my youtube channel http://www.youtube.com/channel/UCBt6VrxAIb5jLh9HLDcdwtQ?sub_confirmation=1 Oracle Interview questions and Answers at https://www.youtube.com/playlist?list=PLb1qVSx1k1Vr0v4wVyvT3GEuA0J0M4xBm Oracle 18C New features at https://www.youtube.com/playlist?list=PLb1qVSx1k1Vqe06V1tIBcvnslMPWX69bW Oracle 12C New features at https://www.youtube.com/playlist?list=PLb1qVSx1k1VqM1u2IHWzZIgziqejl6wx- Oracle PLSQL records and collections at https://www.youtube.com/playlist?list=PLb1qVSx1k1VpAFTXopXvAh_D3PLcTntdm
Views: 1081 Siva Academy
HAVING clause and difference with GROUP BY & WHERE clause in SQL statement
 
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Using HAVING clause and difference with GROUP BY & WHERE clause in SQL statement Link for scripts on my blog: https://sqlwithmanoj.com/2015/05/23/sql-basics-difference-between-where-group-by-and-having-clause/ Check the whole "SQL Server Basics" series here: https://www.youtube.com/playlist?list=PLU9JMEzjCv14f3cWDhubPaddxRvx1reKR Check my SQL blog at: http://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 77948 SQL with Manoj
Oracle Performance Tips - Rank and Dense_Rank
 
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A brief overview and difference between rank and dense_rank analytic function in Oracle
Views: 602 Saurabh Kumar
How to use Row_number,Rank,Dense_rank in SQL(Ranking functions with Partition by order by)
 
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This video will describe about ranking function in sql. We will describe row_number, rank, dense_rank. You can see more SAP learning videos at our YouTube channel: https://www.youtube.com/channel/UCpNJ0Xm35MC5vGbnn8pfryQ To Subscribe our channel: https://www.youtube.com/channel/UCpNJ0Xm35MC5vGbnn8pfryQ?sub_confirmation=1 Facebook: https://www.facebook.com/SAPfollower Twitter: https://twitter.com/AcademySap
Views: 148 saplearningacademy
rank in oracle
 
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in this tutorial i teach rank in oracle
Alohadance Pro Oracle Mid Rank MMR Game
 
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Alohadance Pro Oracle Mid Rank MMR Game Play List Dota2 Full Gameplays Carry :http://goo.gl/sZXUwd Mid : http://goo.gl/P8d8z0 Offlane (Top) : http://goo.gl/3YVuj5 Supports : http://goo.gl/yJRfRs Hightlights : http://goo.gl/SbvYjW ------------------------------------------------------------------------------ Subscribe : https://goo.gl/6dYPzs Facebook : https://www.facebook.com/RedArchonThai/?fref=ts ---------------------------------------------------------------------------------- Tag: Dota 2 Pro is a 2014 6.82B multiplayer online battle arena video game and the stand-alone sequel to the Defense of the Ancients (DotA) Warcraft III: Reign of Chaos and Warcraft III: The Frozen Throne mod. Developed by Valve Corporation, Dota 2 was released as a free-to-play title for Microsoft Windows, OS X and Linux in July 2013, concluding a Windows-only public beta testing phase that began in 2011. The game is available exclusively through Valve's content-delivery platform, Steam.Dota 2 is played in discrete matches involving two five-player teams, each of which occupies a stronghold at a corner of the map. Each stronghold contains a building called the "Ancient", which the opposite team must destroy to win the match. Each player controls a "Hero" character and focuses on leveling up, collecting gold, acquiring items and fighting against the other team to achieve victory.Each match of Dota 2 takes place on a functionally symmetrical map that features the strongholds of two warring factions, the Radiant and the Dire. The Radiant is based at the southwest corner of the map, while the Dire is based at the northeast corner; the two sides are divided by a river that runs perpendicular to the central lane. These factions are defended by up to five players each, and are pitted against one another to compete as the defenders for their respective Ancient. In each stronghold is a critical structure called the "Ancient", a fountain that provide health and lesser structures. These bases are connected by three paths, referred to as "lanes" – two run parallel with the edges of the map, while one runs directly between the two bases. The lanes are guarded by defensive Towers, as well as autonomous characters called "creeps", which periodically spawn in groups and traverse the lanes, attacking enemies they encounter. Featured across the map are hostile characters referred to as "neutrals", which are not aligned to either faction and are primarily located in the forests. Located in a tarn on the northeast side of the river is a "boss" called "Roshan", who typically requires multiple team members to kill and drops powerful items MMR Pro plays replays how to play guide tutorial perspective dota dota2 rank ranking ranked tips tricks learns highlights safelane top mid carry support jungle ult ultimate Dota 2 is a multiplayer online battle arena (MOBA) video game produced by IceFrog and Valve Corporation. On Dota 2 Highlights TV channel you can find highlights from major tournaments, Dota 2 gameplay, videos with pro Dota 2 players and many other interesting Dota 2 movies. Remember to subscribe to be notified when we release new Dota 2 videos! Pro heroes team How To Play tricks guide pro gameplay heros 60fps dota dota2 "dota gamplay" "dota 2 gameplay" pro hero heroes heros "dota 2" game "how to play" guide tip trick mmr rank perspective gameplay "Dota 2 big play" "best moba" "dota2 pro play" "dota pro play" "dota 2 video" "dota 2 highlights" "dota video" "dota replay" "dota 2 replay" "guide dota2" дота "дота 2" highlights 7000
Views: 1959 RedArchon
Oracle interview question, Difference between Rank and Dense Rank
 
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Oracle interview question Difference between Rank and Dense Rank Both RANK() and DENSK_RANK() function gives the ranking within the ordered partition of data, However if same rank is assigned to more than one record, then the next rank(s) will be skipped by RANK() function, whereas, the ranks are consecutive for DENSE_RANK. No ranks will be skipped in case of DENSE_RANK even if more than one row are assigned with same rank. List of all the SQL and PLSQL interview questions https://easy-learning-tech.blogspot.com/p/oracle-sql-plsql-interview-questions.html
Views: 1707 Siva Academy
Oracle SQL Functions|Group by clause Part- 1 by Dinesh
 
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DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS ,ADF,INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
HOW TO IDENTIFY AND DELETE DUPLICATE ROWS USING ROWID AND GROUPBY IN ORACLE SQL
 
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This video demonstrates examples on how to find and delete duplicate records from a table. The video gives simple and easy to understand examples on finding duplicate records from a table using group by and having clause and row_number function. It also shows the ways in which duplicates can be deleted very efficiently using the rowid of that record. You can get the code from our website http://oracleplsqlblog.com/FullBlog/FullBlog/21
Views: 12556 Kishan Mashru
Difference between rank dense rank and row number in SQL
 
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row_number vs rank vs dense_rank in sql server dense_rank vs rank vs row_number sql server rank dense_rank row_number in sql server In this video we will discuss the similarities and difference between RANK, DENSE_RANK and ROW_NUMBER functions in SQL Server. Similarities between RANK, DENSE_RANK and ROW_NUMBER functions Returns an increasing integer value starting at 1 based on the ordering of rows imposed by the ORDER BY clause (if there are no ties) ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, the integer value is reset to 1 when the partition changes SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 6000) Insert Into Employees Values (2, 'John', 'Male', 8000) Insert Into Employees Values (3, 'Pam', 'Female', 4000) Insert Into Employees Values (4, 'Sara', 'Female', 5000) Insert Into Employees Values (5, 'Todd', 'Male', 3000) Notice that no two employees in the table have the same salary. So all the 3 functions RANK, DENSE_RANK and ROW_NUMBER produce the same increasing integer value when ordered by Salary column. SELECT Name, Salary, Gender, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS RowNumber, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees You will only see the difference when there ties. Now let's include duplicate values for Salary column. To do this First delete existing data from the Employees table DELETE FROM Employees Insert new rows with duplicate valuse for Salary column Insert Into Employees Values (1, 'Mark', 'Male', 8000) Insert Into Employees Values (2, 'John', 'Male', 8000) Insert Into Employees Values (3, 'Pam', 'Female', 8000) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Notice 3 employees have the same salary 8000. When you execute the following query you can clearly see the difference between RANK, DENSE_RANK and ROW_NUMBER functions. SELECT Name, Salary, Gender, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS RowNumber, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees Difference between RANK, DENSE_RANK and ROW_NUMBER functions ROW_NUMBER : Returns an increasing unique number for each row starting at 1, even if there are duplicates. RANK : Returns an increasing unique number for each row starting at 1. When there are duplicates, same rank is assigned to all the duplicate rows, but the next row after the duplicate rows will have the rank it would have been assigned if there had been no duplicates. So RANK function skips rankings if there are duplicates. DENSE_RANK : Returns an increasing unique number for each row starting at 1. When there are duplicates, same rank is assigned to all the duplicate rows but the DENSE_RANK function will not skip any ranks. This means the next row after the duplicate rows will have the next rank in the sequence. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rank-denserank-and.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rank-denserank-and_2.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 46697 kudvenkat
Lead , Lag ,  First Value , Last Value ,  Keep First , Keep Last | Oracle SQL Tutorial | Mr.Murali
 
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Lead , Lag , First Value , Last Value , Keep First , Keep Last in Oracle SQL | Oracle SQL Tutorial | Mr.Murali ►For Registration : https://goo.gl/r6kJbB ►Call: +91-8179191999 ► Visit Our Website: http://nareshit.in/ http://nareshit.com/ ► About NareshIT: "Naresh IT is the Best Software Training Institute for Hadoop, Salesforce, AWS, DevOps, Sprak, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in Hyderabad, Chennai and Vijayawada, India which provides online and classroom training classes" ►For Registration : https://goo.gl/r6kJbB ►Call: India- 8179191999, USA- 404-232-9879 Email: [email protected] ►Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5.Share Video's of each and every session. Check The Below Links: ►For Course Reg : https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Visit Our Website: http://nareshit.in/ http://nareshit.com/
Views: 16084 Naresh i Technologies
RANK Analytic Function in SQL with an Example
 
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RANK() Analytic Function: RANK calculates the rank of a value in a group of values. The return type is NUMBER. If two or more rows tie for a rank, each tied rows receives the same rank. For example, if the two top employees have the same salary value, they are both ranked one. The employee with the next highest salary is ranked number three, because there are two rows that are ranked higher. Therefore, the RANK function does not always return consecutive integers. The sort order that is used for the whole query determines the order in which the rows appear in a result set. PARTITION BY clause: Divides the query result set into partitions. The window function is applied to each partition separately and computation restarts for each partition. ORDER BY clause: Defines the logical order of the rows within each partition of the result set. That is, it specifies the logical order in which the window functioncalculation is performed. Query used in Video: select ename,sal,deptno,RANK() OVER(PARTITION BY deptno ORDER BY sal) from emp; Video Explanation: See here 6th row assigned the value '6',not '5' because 4th and 5th rows have same value for salary. Its the same for 12 and 13 rows also. we did not mention anything on OVER clause except ORDER BY. If you want apply RANK() by department wise, we can use PARTITION BY clause. PARTION BY works like GROUP BY in aggregates!
Views: 7138 WingsOfTechnology
SQL Query Training   70 461 TOP Ranking and Analytic functions
 
01:26:16
Additional Training: http://amzn.to/1RjjJCf Other Trainings: www.AaronBuma.com/free-sql-server-training/ We cover features around the TOP(N) in your query, followed by using the RANK(), DENSE_RANK and ROW_NUMBER. Then on to Analytic Functions to help with your statistical analysis of data. Similar to aggregate functions, analytics functions compute over a group of rows with multiple results within each group. Learn how to properly use each of these analytics functions in combination with enhancements to the OVER clause. Learn the value of CUME_DIST and PERCENT_RANK in your analysis, use LAST_VALUE and FIRST_VALUE along with PERCENTILE_DISC, PERCENTILE_CONT, LEAD and LAG you can look at data in the next and previous row. For previous presentations and notifications of upcoming events, checkout my blog: www.AaronBuma.com or follow @AaronDBuma Slides and scripts are also available at: www.AaronBuma.com
Views: 10283 Aaron Buma
How to find out Highest ,Second highest Third highest salary and Nth highest salary in SQL Server
 
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A Chanel Where you can learn about Computer Information and Technology Like Asp.Net C#,Asp.Net MVC,SQL Server,Bootstrap,Oracle and more Website design. Second Chanel : https://www.youtube.com/channel/UCj8tTeZtXXMbOwsJYcxx38g **********connect with us ********** Website : http://www.dawacit.com Facebook : https://www.facebook.com/dawacit05 Twitter : https://twitter.com/dawacit How to send email in ASP.NET C# using Gmail smtp server step by step https://youtu.be/rnQphXehu7g How to send email with attachment in Asp.Net through Gmail smtp server,simple steps https://youtu.be/mhRe_we4hhA How to create Navigation bar in Asp.Net with CSS https://youtu.be/xVgtAdxhIxk How to create website using ASP.NET very attractive design https://youtu.be/uAKWaCl-vK4 How to create login and logout in Asp.Net MVC https://youtu.be/7E8IK_eAsWE
Views: 40341 Dawa CIT
Row Number Vs Rank Vs Dense Rank
 
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This video shows the difference between row_number, rank and dense_rank analytical functions in oracle database with appropriate easy to understand examples, along with it the video demonstrates the different output obtained when using either of the three functions. Apart from simple explanation of the function we also show how partition by and order by clause can be used with the functions for tacking day to day scenarios. If you want more such videos of exciting and amazing 'difference between' concepts, check out the links below : union and union all : https://youtu.be/n9FqQOd8liY char and varchar2 : https://youtu.be/039qzwjWf4k replace and translate : https://youtu.be/HKYF77BGzOE procedure and function : https://youtu.be/q3LmOenL120 in and exists : https://youtu.be/REX4IjRYlFw delete and truncate : https://youtu.be/u76wMm2byXo %type and %rowtype : https://youtu.be/MlLUFeZ_3eM
Views: 3046 Kishan Mashru
SQL Tutorial - Window Functions - Ranking
 
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Another fantastic SQL Tutorial brought to you by BeardedDev. If you are new to working with Window Functions check out this video: https://youtu.be/H6OTMoXjNiM In this video we explore ranking functions available as part of Window Functions: ROW_NUMBER() RANK() DENSE_RANK() NTILE() This tutorial shows an example of when to use each ranking function and the differences between them. Window Functions were first introduced in SQL Server 2005 but further enhancements and support was added in SQL Server 2012. We look at the OVER clause and PARTITION BY. Window Functions can only be included within SELECT or ORDER BY clauses. Functions Available: Aggregate - COUNT, SUM, MIN, MAX, AVG Ranking - ROW_NUMBER, RANK, DENSE_RANK, NTILE Offset - FIRST_VALUE, LAST_VALUE, LEAD, LAG Statistical - PERCENT_RANK, CUME_DIST, PERCENTILE_CONT, PERCENTILE_DIST Windows Functions also have FRAMES ROWS RANGE Window Functions are a powerful tool within SQL Server and I am excited to bring more videos and tutorials working with Window Functions in the future. ROW_NUMBER - unique incrementing integers RANK - same rank for same values DENSE_RANK - same rank for same values NTILE - assigns tile numbers based on number of tiles requested SQL: SELECT Sales_Id , Sales_Total , ROW_NUMBER() OVER(ORDER BY Sales_Total DESC) AS rownum , RANK() OVER(ORDER BY Sales_Total DESC) AS rnk , DENSE_RANK() OVER(ORDER BY Sales_Total DESC) AS dense , NTILE(3) OVER(ORDER BY Sales_Total DESC) AS ntle FROM dbo.Sales_2 SELECT Sales_Id , NTILE(10) OVER(ORDER BY Sales_Total DESC) AS ntle FROM dbo.Sales_2
Views: 4072 BeardedDev
Leaner, Faster Code with Advanced SQL Techniques
 
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Connor Mcdonald, Developer Advocate for SQL, Oracle Most SQL is so simple to write that we can hand off the job to an ORM tool or a similar mechanism. But by delving a little deeper into more-advanced SQL facilities, we can get performance benefits and write a lot less middle-tier code. This session highlights some SQL techniques for solving problems that would otherwise require a lot of complex coding. Learn how to become a more productive developer by expanding your knowledge of the SQL language.
Views: 9415 Oracle Developers
What the PARTITION BY clause does in Analytic Functions Oracle SQL
 
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In this tutorial video we will learn how to use PARTITION BY clause in Analytic Functions Oracle SQL
Views: 2196 Spod ssppoodd
Window functions in SQL Server
 
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sql server window function example window function sql server example sql server rows range clause sql server rows between 1 preceding and 1 following In this video we will discuss window functions in SQL Server In SQL Server we have different categories of window functions Aggregate functions - AVG, SUM, COUNT, MIN, MAX etc.. Ranking functions - RANK, DENSE_RANK, ROW_NUMBER etc.. Analytic functions - LEAD, LAG, FIRST_VALUE, LAST_VALUE etc... OVER Clause defines the partitioning and ordering of a rows (i.e a window) for the above functions to operate on. Hence these functions are called window functions. The OVER clause accepts the following three arguments to define a window for these functions to operate on. ORDER BY : Defines the logical order of the rows PARTITION BY : Divides the query result set into partitions. The window function is applied to each partition separately. ROWSor RANGE clause : Further limits the rows within the partition by specifying start and end points within the partition. The default for ROWS or RANGE clause is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW Let us understand the use of ROWS or RANGE clause with an example. Compute average salary and display it against every employee We might think the following query would do the job. SELECT Name, Gender, Salary, AVG(Salary) OVER(ORDER BY Salary) AS Average FROM Employees As you can see from the result, the above query does not produce the overall salary average. It produces the average of the current row and the rows preceeding the current row. This is because, the default value of ROWS or RANGE clause (RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) is applied. To fix this, provide an explicit value for ROWS or RANGE clause as shown below. ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING tells the window function to operate on the set of rows starting from the first row in the partition to the last row in the partition. SELECT Name, Gender, Salary, AVG(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS Average FROM Employees The same result can also be achieved by using RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING Well, what is the difference between ROWS and RANGE We will discuss this in a later video The following query can be used if you want to compute the average salary of 1. The current row 2. One row PRECEDING the current row and 3. One row FOLLOWING the current row SELECT Name, Gender, Salary, AVG(Salary) OVER(ORDER BY Salary ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS Average FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/window-functions-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/window-functions-in-sql-server_7.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 67961 kudvenkat
RANK and DENSE RANK functions in ORACLE
 
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RANK and DENSE RANK functions in ORACLE... Oracle tutorials for biginners....
Views: 207 CONNECT TO LEARN
How to find nth Max salary in a table
 
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This video is useful to find the nth max salary from a table. It shows all the different ways and possibilities to find the nth max salary from a table, using a rownum sub query and the later on using a dense rank function.
Views: 14554 Kishan Mashru
SQL Ranking Functions: Part 2 Rank, Row_Number, and Dense_Rank
 
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How to use the ranking functions ROW_NUMBER(), RANK(), and DENSE_RANK().
Views: 426 Database by Doug
Quick! What's the difference between RANK, DENSE_RANK, and ROW_NUMBER?
 
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Short videos showing the difference in the RANK(), DENSE_RANK(), and ROW_NUMBER() ranking functions.
Views: 373 Database by Doug
Oracle's customer Luke Ryan, Rank Group Limited, outlines the beneftis of Oracle EPM
 
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Luke Ryan, Group Reporting and Systems Manager at Rank Group Limited speaks to Oracle at the EPM Summit in Melbourne on the impact Oracle Enterprise Performance Management (EPM) has had on Rank Group and explains why attending industry events is a helpful tool for potential customers. Rank Group made the decision to deploy Oracle EPM in all international offices, Luke discusses the benefits Rank Group has enjoyed as a direct result of this. His most favoured qualities of the product include its stabililty, the ease of accessibility and flexible nature of the product.
Views: 115 OracleANZ
Ranking Function Part-1| MSSQL Training | Mr.Sudhakar L
 
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** For Online Training Registration: https://goo.gl/r6kJbB ? Call: +91-8179191999 💡 Visit Our Website for Classroom Training: https://nareshit.in/sql-server-training/ 💡 For Online Training: https://nareshit.com/course/sql-server-dba-online-training/ #sqlserver #server #programming #course #Tutorials #Training #Videos -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 8201 Naresh i Technologies
analytical functions in oracle explained with real examples - Rank vs dense rank in Oracle
 
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Rank and dense_rank are used as analytical functions in oracle for determining the rank depending upon some column values. These analytical functions in Oracle are explained with real examples in this video. #LearnSQL #BasicSQL #Crazy4DB #MunshiSir #OracleSQL Nth Highest Query : https://youtu.be/egxv5e_YRgU Relational Algebra : https://youtu.be/wNaX1a5Kc48 Rollup and Cube : https://youtu.be/bXbaqas8AFQ Normalization tutorial : https://youtu.be/Y0mX6cy2r5U Complete SQL course : https://www.youtube.com/playlist?list=PLdNnjIwbbBta7tveno_un-C7VVFY-F24Z My web site : http://www.oracletrainingnagpur.com My blog : https://crazy4db.blogspot.in My facebook page : https://www.facebook.com/crazy4db/
Views: 154 Crazy4 DB
How to Code Oracle Analytic Functions
 
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Many more free Oracle Database and SQL tutorials at http://skillbuilders.com/free-oracle-tutorials. SQL is a language that allows you to perform queries to answer a wide range of questions about your data. While standard SQL is quite powerful, there are many questions that it cannot answer at all or that it can only answer with complex and inefficient SQL workarounds. Questions about running totals, percent of total, and ranking within a group fall into this area. Also, more complex issues such as Top-N within a group and aggregates over a range also fall in this arena. These questions can be easily answered via a new class of SQL statements called Analytic Functions. This presentation will show you how to use Oracle's Analytic Function extensions to SQL to answer these questions simply and efficiently.
Views: 26636 SkillBuilders
SQL Query Training - 70-461 TOP(), Ranking, and Analytic functions
 
01:26:16
We will start off with all the features around the TOP(N) in your query, followed by using the RANK(), DENSE_RANK and ROW_NUMBER. Then on to Analytic Functions to help with your statistical analysis of data. Similar to aggregate functions, analytics functions compute over a group of rows with multiple results within each group. Learn how to properly use each of these analytics functions in combination with enhancements to the OVER clause. Learn the value of CUME_DIST and PERCENT_RANK in your analysis, use LAST_VALUE and FIRST_VALUE along with PERCENTILE_DISC, PERCENTILE_CONT, LEAD and LAG you can look at data in the next and previous rows.
Views: 4002 Steve Stedman
Partitioning in Oracle Explained with Real project Examples : Introduction
 
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This Video series will explain partitioning and its use cases referencing real project examples from different domain. It will explain what when and why of partitioning in a simple but elaborate manner. This is the 1st video which explains why partitioning is required and what are the advantages we gain from it. The following videos will explain when should we do it and how. Part 1 : Partitioning in Oracle : https://www.youtube.com/watch?v=m3q4lrE671Y&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=1 Part 2 : Partitioning in Oracle - Performance Basics :https://www.youtube.com/watch?v=OQ8LXbxLI5g&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=2 Part 3 : List Partitioning in Oracle : https://www.youtube.com/watch?v=w6kB-90pFa4&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=3 Part 4 : Range partitioning in Oracle : https://www.youtube.com/watch?v=VBkpI4Ki49Q&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=4 Part 5 : Hash Partitioning in Oracle : https://www.youtube.com/watch?v=2YxOF_sJMLI&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=5 Part 6 : Composite Partitioning in Oracle :https://www.youtube.com/watch?v=q_e9IkNtSWc&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=6 Part 7 : Reference Partitioning in Oracle :https://www.youtube.com/watch?v=p8gNwr6Rtdo&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=7 Part 8 : Local Vs Global Partitioned Index in Oracle 11g : https://www.youtube.com/watch?v=t77fyUt8XPw&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=8 Part 9 : Partitioning enhancement in 12 c :https://www.youtube.com/watch?v=o_WjapdXiQg&list=PLUWdEQb_2yqX9rJ9CtahlZvo0AD3A63JA&index=9
Views: 35451 Tech Coach
SQL Rank function
 
11:24
Video talks about rank functions in sql server dense rank in sql server sql rank function sql dense_rank function Step by step SQL Training videos SQL Tutorial for more videos https://www.youtube.com/channel/UCgWvQ6cBxZwABl_hL48ayXg
Views: 1436 Training2SQL MSBI
Oracle Analytic Functions In-Depth / NEW UDEMY COURSE
 
03:02
To all my students that enrolled in my Oracle SQL & PL/SQL course: It is time now for advanced SQL, the Best Course Ever and the only course in udemy which talk about this topic in details You will learn many things: • Use SQL with aggregation operators. • SQL for Analysis and Reporting functions • Group and aggregate data using the ROLLUP and CUBE operators • The GROUPING function • Composite Columns and the concatenated Groupings • RANK & DENSE_RANK • PERCENT_RANK • CUME_DIST (cumulative distribution) • The LAG/LEAD Functions • LISTAGG function • Aggregate functions VS Analytic Part • Aggregate functions & windowing clause In-Depth • Moving Average and running totals • ROWNUM & ROW_NUMBER • And much more Take it now 10.99$ https://www.udemy.com/oracle-analytic-functions-in-depth/?couponCode=KHKH10
Views: 760 khaled alkhudari
How to use Oracle SQL ROLLUP and CUBE
 
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Learn how the Oracle Database SQL extensions ROLLUP and CUBE provide additional aggregations for your data warehouse data.
Views: 2897 SkillBuilders
Analytics: 04 More ranking options
 
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blog: https://connor-mcdonald.com Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, we look at more esoteric ranking functions with a more statistical background The sample problem we'll solve is: Show me distributions of Hollywood movie box office sales using PERCENT_RANK, CUME_DIST and NTILE (quartile, decile, tertile, etc) Scripts: https://livesql.oracle.com/apex/livesql/s/clq6jmj1jzju4k23v3tnbzo8u
Views: 1118 Connor McDonald
Formatting your Oracle Query Results Directly to CSV
 
03:02
How to get Oracle SQL Developer to automatically format your query results to CSV, HTML, JSON, Insert statements, and more.
Views: 51262 Jeff Smith