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Oracle COUNT Function
 
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https://www.databasestar.com/oracle-count/ The Oracle COUNT function is used to count the number of rows from the column, or number of values, provided to it. It’s commonly used to find the number of rows returned by a SELECT query. The syntax of the COUNT function is: COUNT ( [ * | [ DISTINCT | ALL ] expression) [ over (analytic_clause) ] There’s a lot of square brackets here, indicating optional parameters and choices. This just means you can use the COUNT function in a few different ways: COUNT(*) COUNT(DISTINCT expression) COUNT(ALL expression) COUNT(*) OVER (analytic_clause) COUNT(DISTINCT expression) OVER (analytic_clause) COUNT(ALL expression) OVER (analytic_clause) It can be used as an aggregate or analytic function. The parameters of the COUNT function are: - expression: The expression to count the values of. This can be a column or a set of values, for example. - analytic_clause: This is used to specify the criteria for an analytic query. COUNT(*) is the most common way to use this function, I’ve found. As COUNT(*) is an aggregate function, like all aggregate functions the columns mentioned in the SELECT clause need to exist in the GROUP BY clause. NULL values are ignored by COUNT(expression), but they are counted when using COUNT(*). COUNT(*) has the exact same calculation and performance as COUNT(1). For more information about the Oracle COUNT function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-count/
Views: 393 Database Star
SQL: Analytical Functions
 
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In this tutorial, you'll learn how to use the analytical functions..
Views: 37540 radhikaravikumar
ORACLE Analytic Functions for Data Warehousing 1/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 1/ Arabic --analytic functions allow developers to perform tasks in SQL that were previously confined to procedural languages. -- let's start by aggregate functions ( sum, avg, count,...) select * from EMPLOYEES; select avg(salary) from employees; select DEPARTMENT_ID, avg(salary) from employees group by DEPARTMENT_ID order by 1 /* Analytic functions also operate on subsets of rows, similar to aggregate functions in GROUP BY queries, but they do not reduce the number of rows returned by the query */ select avg(salary) from employees; select employee_id, first_name,salary,(select avg(salary) from employees) avg_sal from EMPLOYEES; --analytic_function([ arguments ]) OVER (analytic_clause) --The analytic_clause breaks down into the following optional elements. --[ query_partition_clause ] [ order_by_clause [ windowing_clause ] ] select employee_id, first_name,salary, avg(salary) over() avg_sal from EMPLOYEES; select employee_id, first_name,salary, avg(salary) over( order by EMPLOYEE_ID ) from EMPLOYEES; select DEPARTMENT_ID, avg(salary) from employees group by DEPARTMENT_ID order by 1 select employee_id, first_name,salary,DEPARTMENT_ID, avg(salary) over(PARTITION BY DEPARTMENT_ID) avg_sal_dept from EMPLOYEES; select employee_id, first_name,salary,DEPARTMENT_ID, avg(salary) over(PARTITION BY DEPARTMENT_ID order by employee_id ) from EMPLOYEES drop table concan_card; create table concan_card ( rec_serial number primary key, game_name varchar2(100), game_round number, player_name varchar2(100), game_round_score number ); insert into concan_card values(1,'GAME1',1,'ahmed', -60); insert into concan_card values(2,'GAME1',1,'khaled', 200); insert into concan_card values(3,'GAME1',1,'ali', 30); insert into concan_card values(4,'GAME1',2,'ahmed', 10); insert into concan_card values(5,'GAME1',2,'khaled', -30); insert into concan_card values(6,'GAME1',2,'ali', 100); insert into concan_card values(7,'GAME1',3,'ahmed', -30); insert into concan_card values(8,'GAME1',3,'khaled', 100); insert into concan_card values(9,'GAME1',3,'ali', 6); select * from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by player_name,game_round ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by rec_serial ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY game_name,player_name order by rec_serial ) from concan_card insert into concan_card values(10,'GAME2',1,'ahmed', -60); insert into concan_card values(11,'GAME2',1,'khaled', 200); insert into concan_card values(12,'GAME2',1,'ali', 30); insert into concan_card values(13,'GAME2',2,'ahmed', 10); insert into concan_card values(14,'GAME2',2,'khaled', -30); insert into concan_card values(15,'GAME2',2,'ali', 100); insert into concan_card values(16,'GAME2',3,'ahmed', -30); insert into concan_card values(17,'GAME2',3,'khaled', 100); insert into concan_card values(18,'GAME2',3,'ali', 6); select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by player_name,game_round ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by rec_serial ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY game_name,player_name order by rec_serial ) from concan_card
Views: 5079 khaled alkhudari
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: 22943 Tech Coach
Oracle Analytic Functions In-Depth / NEW UDEMY COURSE
 
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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: 679 khaled alkhudari
12a of 15 SQL Basics with Oracle - Variations for the COUNT() function
 
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This video looks at three variations of the COUNT() function: COUNT(*), COUNT(field_name) and COUNT(DISTINCT field_name). The examples in the video show what the differences are in the result set for each COUNT variation. (12a of 15)
Views: 1507 Jennifer Kreie
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group
Oracle Tutorial - Aggregate Functions AVG | SUM | MIN | MAX | COUNT
 
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Oracle Tutorials - Aggregate Functions avg () Sum () Min () Max () Count ()
Views: 105 Tech Acad
APPROX_COUNT_DISTINCT Function in Oracle Database 11g and 12c
 
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This video demonstrates how to quickly improve the performance of calculating the number of distinct values using the APPROX_COUNT_DISTINCT function. For more information see: https://oracle-base.com/articles/12c/approx-count-distinct-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Kris Rice Blog: http://krisrice.blogspot.com/ Twitter: https://twitter.com/krisrice Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 739 ORACLE-BASE.com
Oracle DENSE_RANK Function
 
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https://www.databasestar.com/oracle-dense_rank/ The Oracle DENSE_RANK function allows you to calculate a rank of a row in a group of rows. It returns this rank as a NUMBER value. This function can be used as either an analytic or an aggregate function, and the syntax depends on how you use it. As an aggregate function it looks like this: DENSE_RANK ( expr, [expr(n)] ) WITHIN GROUP ( ORDER BY (order_expr [ASC|DESC] [NULLS FIRST|LAST] ) These parameters are: - expr: this is the value to search for in a particular table. You can specify multiple search values, and just separate them by a comma. - order_expr: this is used to order the expr values by, because you get a different results depending on what order you rank the values in. - NULLS FIRST or LAST: this is where you can specify if you want to have NULL values appear at the top of your ranking order or at the bottom. As an analytic function, it looks like this: DENSE_RANK() OVER ( [query_partition_clause] order_by_clause) The parameters are: - query_partition_clause: this is the expression that the ranking is “grouped” by, as analytic functions allow you to group data within rows. - order_by_clause: this is the expression to order your results by to determine a rank. For this function, if two records have the same sort or rank position, they will have the same RANK value. It won’t cause a gap in the rankings, unlike the RANK function which does cause a gap. For more information about the Oracle DENSE_RANK function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-dense_rank/
Views: 440 Database Star
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: 1952 Spod ssppoodd
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: 6931 WingsOfTechnology
Oracle LISTAGG Function
 
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https://www.databasestar.com/oracle-listagg/ The Oracle LISTAGG function allows you to aggregate or combine string values from multiple rows into a single row. For example, it turns this data: FIRST_NAME Adam Brad Carrie Into this data: FIRST_NAME Adam, Brad, Carrie The same data is shown, but it’s in one row and not multiple. It’s a valuable string manipulation function, and once you know what it is and how it works, you’ll be able to use it in your queries as needed. So what does it look like? The function is: LISTAGG ( measure_expr [, delimiter]) WITHIN GROUP (order_by_clause) [OVER query_partition_clause] These parameters are: measure_expr: This is a column or expression that you want to concatenate the values of. In the example above, it was the first_name column. Mandatory. delimiter: This is the character between each of the measure_expr values. Optional, the default is a comma. order_by_clause: This is the order that the values from the measure_expr are listed. Mandatory. query_partition_clause: This allows you to use LISTAGG as an analytic function, allowing you to show LISTAGG in groups for different rows. One thing to be aware of is that the output of the Oracle LISTAGG function is limited to 4,000 bytes. If you get more than this, you’ll receive an error. The most common way around this that I’ve seen is to write a custom function and use a CLOB. Watch the video to find out more and see some examples. For more information about the Oracle LISTAGG function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-listagg/
Views: 2997 Database Star
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: 62224 kudvenkat
Oracle Analytical functions Sum , Lead , Lag and Avg
 
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This video tutorial explains Oracle Analytical functions further continuing from my previous video. We demonstrate practical usage of these functions with examples. For Software used in the video refer : www.querylight.in
Views: 3038 Query Light
sql aggregate functions
 
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sql aggregate functions aggregate functions sql sql analytic functions oracle sql analytic functions SQL have following aggregate functions that can be used to write queries. 1)SUM() -: return sum of columns values. 2)AVG() -: return Average of columns values. 3)COUNT() -: return count of rows according to condition in where clause. 4)COUNT(*) -: return count of rows according to condition in where clause. 5)MAX() -: return Maximum value from table. 6)MIN() -: return minimum value from table. Note : A)Aggregate functions used in SELECT and HAVING clauses. B)Aggregate functions cannot be used in a WHERE clause. SELECT SUM(SALARY) FROM EMPLOYEE SELECT AVG(SALARY) FROM EMPLOYEE SELECT COUNT(SALARY) FROM EMPLOYEE SELECT COUNT(*) FROM EMPLOYEE SELECT MAX(SALARY) FROM EMPLOYEE SELECT MIN(SALARY) FROM EMPLOYEE https://techquerypond.com https://techquerypond.wordpress.com https://twitter.com/techquerypond
Views: 479 Tech Query Pond
Oracle DV - Use TimestampDiff to Calculate Interval Between Two Dates
 
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This video shows simple way to leveage TimestampDiff function in Oracle DV to calculate time interval between two dates. Download the latest version of DV today https://www.oracle.com/technetwork/middleware/oracle-data-visualization/downloads/oracle-data-visualization-desktop-2938957.html.
Views: 286 Oracle Analytics
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: 11091 Naresh i Technologies
12 of 15 SQL Basics with Oracle - Aggregate (grouping) functions and the GROUP BY clause
 
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This video explains the GROUP BY clause and some of the aggregate functions: sum, count, average, maximum, minimum, count(distinct ...), etc. An example of using an aggregate function would be to group students by major and only show the number of students in each major, not individual student information. (12 of 15) There is also an "Advanced SQL" series. (Search for "databasemec" for tutorials using SQL Server.)
Views: 5566 Jennifer Kreie
Analytic Functions: Databases for Developers #13
 
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Analytic or windowing functions are one of the most powerful features of SQL. They allow you do to things like: - Add running totals - Generate row numbers - Calculate moving averages This video explains how to use them to analyze your data. Want to learn more? Take the course! https://devgym.oracle.com/pls/apex/dg/class/databases-for-developers-next-level.html Further reading: Analytic functions in the docs: https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Analytic-Functions.html Analytic SQL video series: https://www.youtube.com/watch?v=0cjxYMxa1e4&list=PLJMaoEWvHwFIUwMrF4HLnRksF0H8DHGtt Need help with SQL? Ask us over on AskTOM: https://asktom.oracle.com Twitter: https://twitter.com/ChrisRSaxon Daily SQL Twitter tips: https://twitter.com/SQLDaily All Things SQL blog: https://blogs.oracle.com/sql/ ============================ The Magic of SQL with Chris Saxon Copyright © 2015 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.
Views: 1120 The Magic of SQL
SQL with Oracle 10g XE - Using the COUNT and SUM Functions
 
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In this video I use the COUNT and SUM functions available to the SQL language. I used the COUNT function to add up the number of records in my query. This function works well with all data types and will just count the number or records that result from the conditions of your query. The SUM function will add up the numeric values and produce a total amount of a column. When using a function be sure to use parenthesis around the column you are performing the function on. This video is part of a series of videos with the purpose of learning the SQL language. For more information visit Lecture Snippets at http://lecturesnippets.com.
Views: 7960 Lecture Snippets
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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More about analytic functions, visit http://www.learn-with-video-tutorials.com Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group.
FIRST_VALUE and LAST_VALUE Analytic Functions in Oracle Database
 
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FIRST_VALUE and LAST_VALUE in Oracle Database Oracle FIRST Function Oracle last Function
Views: 104 Adam Tech
Ask TOM Office Hours: SQL Analytics and Pattern Matching
 
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Held on February 8, 2018 Learn how to make the most of SQL with Chris Saxon, of the AskTOM answer team. Keith Laker joins Chris in this session focusing on problems you can solve using SQL analytic functions. It will also show you can use 12c's pattern matching (match_recognize) to solve these problems in another way. AskTOM Office Hours offers free, monthly training and tips on how to make the most of Oracle Database, from Oracle product managers, developers and evangelists. https://asktom.oracle.com/ Oracle Developers portal: https://developer.oracle.com/ Sign up for an Oracle Cloud trial: https://cloud.oracle.com/en_US/tryit music: bensound.com
Views: 560 Oracle Developers
Analytical Functions   ORACLE  SQL
 
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Analytical Functions ORACLE SQL
Views: 206 Zain Mohamed
Oracle TO_DATE Function Explained with Examples
 
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https://www.databasestar.com/oracle-to_date/ The Oracle TO_DATE function is one of the most useful conversion functions in Oracle. It can be a little confusing though. The TO_DATE function is used to convert a character value to a date value. You can use it to convert a string that is in the format of a date, into a date data type. Why would you use this? Converting a character to a date is helpful if you want to insert a date into a column in a table. Being specific about the format (explicit) is better than assuming the conversion will be done for you (implicit). This TO_DATE function only converts to a DATE data type. If you want to convert to the other datetime data types, you’ll have to use other functions such as TO_TIMESTAMP or TO_TIMESTAMP_TZ. The syntax for this function is: TO_DATE(charvalue [, format_mask [, nls_date_language]]) The parameters for this function are: Charvalue: This is the character value that you want to convert to a date. It’s the main input of the function. Format_mask: This is the format that the input value, the charvalue, is in. This is used to help convert your character value into a date, as your character may be in a different format to the default. Nls_date_language: this is used to determine how the output is displayed. For more information about the Oracle TO_DATE function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-to_date/
Views: 1771 Database Star
Oracle SQL: Exploring Date Functions
 
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http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT Oracle SQL: Exploring Date Functions is an excerpt from Oracle SQL LiveLessons Video Training -- 6+ Hours of Video -- Oracle SQL LiveLessons Video Training covers the basics of the Oracle SQL programming language. This course covers both Oracle standard SQL and the ANSI approved SQL that Oracle supports. The focus of the course is to give students working knowledge of the Oracle SQL language and at the conclusion of this course, students should be able to query the Oracle database. Description In this LiveLessons video course, Oracle ACE Director Dan Hotka will teach you how to use the SQL query language, interpret business questions into SQL code, and how to use Where clauses sub-queries, complex table join conditions, and how to create table objects and populate tables with data. Students will also learn how to access Oracle from Microsoft products such as Excel. In addition, they will learn how analytical SQL can be used for business analysis. This course will use both Toad and SQL Developer for SQL examples. About the Instructor Dan Hotka is a training specialist and an Oracle ACE director who has more than 37 years in the computer industry and more than 31 years of experience with Oracle products. His experience with the Oracle RDBMS dates back to the Oracle V4.0 days. Dan enjoys sharing his knowledge of the Oracle RDBMS. Dan is well published with 12 Oracle books and well over 200 published articles. He is also the video author for Oracle SQL Performance Tuning for Developers LiveLessons and Oracle PL/SQL Programming Fundamentals. He is frequently published in Oracle trade journals, regularly blogs, and speaks at Oracle conferences and user groups around the world. Visit his website at www.DanHotka.com. Skill Level Beginner Learn How To Use the SQL query language Interpret business questions into SQL code Understand Oracle standard SQL and ANSI SQL Work with Where clauses, sub-queries, and complex table join conditions Create table objects and populate these tables with data Access Oracle from Microsoft products such as Excel Use analytical SQL, useful for business analysts Who Should Take This Course Students who are new to SQL and want to learn Oracle SQL Course Requirements Basic knowledge of what is a database, especially RDBMS and what is a computer programming language http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT
Views: 5178 LiveLessons
Counting Data Within Groups with GROUP BY (Introduction to Oracle SQL)
 
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How to use grouping and count to count occurrences of data
Views: 415 Database Star
SQL Tutorial - Window Functions
 
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For the best book on T-SQL click here: https://www.amazon.co.uk/gp/product/0735685045/ref=as_li_tl?ie=UTF8&camp=1634&creative=6738&creativeASIN=0735685045&linkCode=as2&tag=beardeddev-21&linkId=2e450454659d4279f54dd188d24bc011 Another fantastic SQL Tutorial brought to you by BeardedDev. In this video we begin to explore Window Functions and their purpose within SQL Server. Window Functions are used for performing data analysis calculations and address an important need compared to the GROUP BY clause that we are able to return the underlying data in the same query. This video shows an example of the differences between the GROUP BY clause and Window Functions. 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 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. Code: WITH CTE AS ( SELECT Sales_Id , SUM(Line_Total) AS Total FROM Sales_Details GROUP BY Sales_Id ) SELECT * FROM CTE AS A INNER JOIN Sales_Details AS B ON A.Sales_Id = B.Sales_Id SELECT Sales_Id , Sales_Date , Item , Price , Quantity , Line_Total , COUNT(Line_Total) OVER(PARTITION BY Sales_Id) AS Line_Count , SUM(Line_Total) OVER(PARTITION BY Sales_Id) AS Sales_Total , SUM(Line_Total) OVER(PARTITION BY Sales_Date) AS Daily_Total , SUM(Line_Total) OVER() AS Total FROM Sales_Details ORDER BY Sales_Total
Views: 12302 BeardedDev
KISS series on Analytics: 13 FIRST_VALUE / LAST_VALUE in WINDOWS
 
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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 discovering the boundary values as defined by a WINDOW The sample problem we'll solve is: Compare life expectancy through the ages, with boundary value 5 years either side of the current value. Scripts: https://livesql.oracle.com/apex/livesql/file/content_CTQ60ECMLQDBA256F79UY1YZ5.html Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­­­­============== Copyright © 2015 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.
Views: 1075 Connor McDonald
OAC 19.1.1 : Result Set Row Count and Table Properties
 
01:51
This video details one of the enhancements delivered in OAC 19.1.1 release (January 2019)
Views: 477 Oracle Analytics
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......
19 SQL with Oracle 10g XE   Using the COUNT and SUM Functions
 
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19 SQL with Oracle 10g XE Using the COUNT and SUM Functions
Views: 52 Cambo Movies
Oracle interview question difference between null functions
 
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Difference between NVL,NVL2, NULLIF and COALESCE NVL function will check whether the first input parameter is null, if first input parameter is null then the function returns the second parameter value as output. NVL2 function will check the first parameter, and return second parameter if the first parameter is not null, otherwise returns third parameter. NULLIF will compare the input parameters ( first and second parameter ), and returns NULL of both are same, otherwise returns the first parameter value. COALESCE, returns the first not null expression in the given input parameters. -------------------------------------------------------------------------------------------------------- List of all the SQL and PLSQL interview questions https://easy-learning-tech.blogspot.com/p/oracle-sql-plsql-interview-questions.html
Views: 996 Siva Academy
Over clause in SQL Server
 
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over partition by in sql server 2008 sql server over clause partition partition by clause in sql server 2008 over partition by clause in sql In this video we will discuss the power and use of Over clause in SQL Server. The OVER clause combined with PARTITION BY is used to break up data into partitions. Syntax : function (...) OVER (PARTITION BY col1, Col2, ...) The specified function operates for each partition. For example : COUNT(Gender) OVER (PARTITION BY Gender) will partition the data by GENDER i.e there will 2 partitions (Male and Female) and then the COUNT() function is applied over each partition. Any of the following functions can be used. Please note this is not the complete list. COUNT(), AVG(), SUM(), MIN(), MAX(), ROW_NUMBER(), RANK(), DENSE_RANK() etc. Example : 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 Write a query to retrieve total count of employees by Gender. Also in the result we want Average, Minimum and Maximum salary by Gender. This can be very easily achieved using a simple GROUP BY query as show below. SELECT Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender What if we want non-aggregated values (like employee Name and Salary) in result set along with aggregated values You cannot include non-aggregated columns in the GROUP BY query. SELECT Name, Salary, Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender The above query will result in the following error : Column 'Employees.Name' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause One way to achieve this is by including the aggregations in a subquery and then JOINING it with the main query as shown in the example below. Look at the amount of T-SQL code we have to write. SELECT Name, Salary, Employees.Gender, Genders.GenderTotals, Genders.AvgSal, Genders.MinSal, Genders.MaxSal FROM Employees INNER JOIN (SELECT Gender, COUNT(*) AS GenderTotals, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender) AS Genders ON Genders.Gender = Employees.Gender Better way of doing this is by using the OVER clause combined with PARTITION BY SELECT Name, Salary, Gender, COUNT(Gender) OVER(PARTITION BY Gender) AS GenderTotals, AVG(Salary) OVER(PARTITION BY Gender) AS AvgSal, MIN(Salary) OVER(PARTITION BY Gender) AS MinSal, MAX(Salary) OVER(PARTITION BY Gender) AS MaxSal FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server_29.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: 90624 kudvenkat
SQL Partition By Explained
 
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Using Oracle's SQL, I'll explain how to use Partition By. This will be similar in other SQL engines that have the Partition By keyword.
Views: 32059 Pretty Printed
Oracle || SQL Functions(Group  By  clause) Part-2 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......
Oracle - SQL - Number Functions
 
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Oracle - SQL - Number Functions Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Anadi Sharma, Tutorials Point India Private Limited.
SQL tutorial 74: SQL COALESCE Function In oracle Database Manish Sharma
 
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Third tutorial in SQL Null Series. Coalesce Null function with example in oracle Database. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog : http://bit.ly/sql-coalesce Previous Tutorial ► NVL https://youtu.be/aRoTR5Jn6K0 ► NVL2 https://youtu.be/SCwc0HcS1-U ------------------------------------------------------------------------- ►►►Let's Get Free Uber Cab◄◄◄ Use Referral Code UberRebellionRider and get $20 free for your first ride. ------------------------------------------------------------------------- ►►►Help Me In Getting A Job◄◄◄ ►Help Me In Getting A Good Job By Connecting With Me on My LinkedIn and Endorsing My Skills. All My Contact Info is Down Below. You Can Also Refer Me To Your Company Thanks -------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! -------------------------------------------------------------------------- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider https://www.facebook.com/imthebhardwaj http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ http://rebellionrider.tumblr.com/ http://www.pinterest.com/rebellionrider/ You can also Email me at for E-mail address please check About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 27702 Manish Sharma
KISS series on Analytics: 25 The KEEP clause
 
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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 the new KEEP clause to collect extra column when performing aggregates, to avoid the need to do another join back to the source table. Script: https://livesql.oracle.com/apex/livesql/file/content_C85WW581KIH95H1QKH08H8H5G.html Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­­­============== Copyright © 2015 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.
Views: 834 Connor McDonald
Oracle DV - Using The Presentation Variable Prompt Plugin
 
03:34
This custom plugin can be downloaded from Oracle Analytics Library at https://www.oracle.com/analytics-library
Views: 1548 Oracle Analytics
Oracle Database11g tutorials 13 || SQL substr function / SQL substring function
 
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link of SQL substr blog : http://www.rebellionrider.com/SQL-substr-function.htm SQL substr function SQL Substr function will return a sub string of a specified length from the source string beginning at a given position. Tool used in this tutorial is command prompt. This tutorial series is part of SQL expert exam certification training. if you are preparing for SQL certification you can use my tutorials. This SQL Tutorial is a part of free training. Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=j7eYO7 Contacts E-Mail [email protected] Twitter https://twitter.com/rebellionrider Instagram http://instagram.com/rebellionrider Facebook. https://www.facebook.com/imthebhardwaj Linkedin. http://in.linkedin.com/in/mannbhardwaj/ Thanks for linking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ---------------------------------------------------------------------------- As the name suggests SQL Substr function will return substring from a given source string. Let's see the Syntax Substr (source_string, start_pos, Substr_length) As we can see SQL substr function takes 3 parameters. First one is Source string from which you want to extract the segment. Second parameter is Starting position for sub string from the Source string. And the third parameter is Substr_length which is the length for the substring. First two parameters are mandatory to specify while third one is optional. So we can say. SQL Substr function will return a sub string of a specified length from the source string beginning at a given position. First parameter source string can be of any data type CHAR, VARCHAR2, NCHAR, NVARCHAR2, CLOB, or NCLOB whereas both start_pos, Substr_length parameters must be number data type. The returning result of SQL Substr function is of same data type of source string. Let's see an example of SQL Substr function. SELECT substr('www.RebellionRider.com',5,14) FROM dual; Here in this query url of my website www.RebellionRider.com is our source string with the total length of 22 characters, Now, I want to extract the name of my website that is, RebellionRider. So if you count the total length of the name of the website, it is 14. That's why I have specified 14 as my third parameter of SQL Substr function which is substr_length. Also the name of the website RebellionRider is starting from 5th position therefore I have specified 5 at second parameter of SQL substr function which is strt_pos or starting position. Execute it. Here is our result RebellionRider When starting position is larger than the length of source string. In this case SQL Substr function will return NULL as a result. Let's do an example. SELECT substr('www.RebellionRider.com',23,14) FROM dual; As you can see here I have specified 23 at starting position and the total length of our source string is 22 characters Let's execute And the result is Null. Second scenario When the Substr_length is greater than source string In this case the segment return is the substring from starting position to the end of the string. For example SELECT substr('www.RebellionRider.com',5,23) FROM dual; Our starting position is at 5 means at the first R of RebellionRider and length of substring is set to 23 which is greater than the length of source string that is 22. Execute. As you can see we get a substring from first R of RebellionRider till the end of the source String. Third scenario When you supply numeric or arithmetic expression or a DATE instead of character as Source string to SQL Substr function In this scenario If you have supplied a numeric string instead of character as source string, the oracle engine casts them as a character when they occur as parameter to SQL Substr function. And if you have supplied Arithmetic expression or a DATE then The Oracle engine first solves or evaluates the Arithmetic expression or the DATE Then casts them as a character. Means if you have arithmetic expression in your source string then oracle will first solve it and then change or say cast the value of its result into character. Let's see some example. SELECT substr(50000-7,2,4) FROM dual; Oracle first evaluates the arithmetic expression that is 50000-7 equals to 49993. And then oracle engine casts this result 49993 into a character string. Means 49993 will be a 5 characters string. Starting position of substring is 2, that means from the first 9 of 49993 We specified the length of substring is 4 so we must get 9993 as our result. Let's check execute
Views: 81913 Manish Sharma
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: 10656 Kishan Mashru
COL3: Working With Collection Methods
 
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Methods are procedures and functions attached to a collection variable that allow to retrieve information about the collection or change its contents. They include DELETE, FIRST, LAST, COUNT, TRIM and EXISTS. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 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.
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: 2523 SkillBuilders
Oracle DV Workshop - Basics of Training & Applying Predictive Models With Oracle DV
 
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The workshop can be run by anyone using Oracle DV (OAC or Desktop) on a regular laptop, with DVML option installed. Oracle DV Desktop can be downloaded from : bit.ly/OracleDVDownload Datasets used in this workshop is available from https://www.oracle.com/solutions/business-analytics/data-visualization/library.html?search=donat Only some features of Oracle Datavisualization are covered in this workshop, it does not adress all the analysis capabilities of Oracle Datavisualization.
Views: 2286 Oracle Analytics
Oracle regular expression part 1 regexp like
 
12:26
Oracle SQL PLSQL and Unix Shell Scripting
Views: 10500 Sridhar Raghavan
How to return multiple values from a function in oracle pl/sql ? (without using out parameter)
 
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This video demonstrates how a function can return multiple values to the calling environment, but without using multiple out parameters, the video shows an example on how we can create a object, a nested table based on the object and then returning the nested table type from the function.
Views: 20534 Kishan Mashru
Oracle Database11g tutorials 11: SQL case manipulation function in Oracle Database
 
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Part 2 SQL functions- character function -case manipulation functions Previous Video Link :: http://youtu.be/5rx8Q4x4-qI Tool used in this tutorial is command prompt. This tutorial series is part of SQL expert exam certification training. if you are preparing for SQL certification you can use my tutorials. This SQL Tutorial is a part of free training. Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=j7eYO7 Contacts E-Mail [email protected] Twitter https://twitter.com/rebellionrider Instagram http://instagram.com/rebellionrider Facebook. https://www.facebook.com/imthebhardwaj Linkedin. http://in.linkedin.com/in/mannbhardwaj/ Thanks for linking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ------------------------------------------------------------------------------------- As discuss in last video we have 3 case manipulation functions. In case you miss the SQL functions intro video you can find the link in the description below. First let's see what these functions are. Upper (): This function takes a parameter converts it into uppercase and returns the new string. Initcap (): this function also takes parameter and converts the initial letter of or parameter into uppercase and returns the new string. Lower (): This function takes a parameter converts it into lowercase and returns the new string. Ok let's do some practical For this practical we will be using 2 tables First is dual table Which is a dummy table provided by oracle? And I have created another table again by the name of example. This will be our second table. Let's start with SQL function upper ( ); SELECT upper('hello world') FROM dual; As you can see I have used "hello world" completely in lowercase as parameter to SQL upper function. Execute it. Here, our result has given us a completely new hello world string which is in uppercase. Similarly you can also use SQL upper function to perform other DML Let's try This time we will work on our second table EXAMPLE; insert into example values (upper('manish')); first parentheses for values and second for SQL function upper. Let's check the result. As you can see here inserted value is in upper case. Lets compare it with simple insert query Insert into example values ('manish'); Execute it, i think now it's clear that when we perform simple insert DML the inserted value will be the same you provide. Similarly let's try SQL function initcap(); SELECT initcap('hello world') FROM dual; As you see here in result the initial letters of string hello world are in uppercase. Let's do the insert query insert into example values (initcap('hello world')); initial letters of string also are in uppercase. Let's try SQL function lower(); This time we have to write our hello world in all caps. SELECT lower('HELLO WORLD') FROM dual; Execute String totally in lower case. Similarly you can user SQL function lower in other DML like insert and all.
Views: 87915 Manish Sharma